Best AI tools for< Customize Pipelines >

Bionl is a no-code bioinformatics platform designed to streamline biomedical research for researchers and scientists. It offers a full workspace with features such as bioinformatics pipelines customization, GenAI for data analysis, AI-powered literature search, PDF analysis, and access to public datasets. Bionl aims to automate cloud, file system, data, and workflow management for efficient and precise analyses. The platform caters to Pharma and Biotech companies, academic researchers, and bioinformatics CROs, providing powerful tools for genetic analysis and speeding up research processes.

Genie TechBio is the world's first AI bioinformatician, offering an LLM-powered omics analysis software that operates entirely in natural language, eliminating the need for coding. Researchers can effortlessly analyze extensive datasets by engaging in a conversation with Genie, receiving recommendations for analysis pipelines, and obtaining results. The tool aims to accelerate biomedical research and empower scientists with newfound data analysis capabilities.

Tusk is an AI-powered tool designed to help prevent bugs caused by edge cases in software development. It generates unit and integration tests with codebase context, suggesting test cases by reading the codebase and documentation. Tusk seamlessly integrates into the workflow, sitting within GitHub and CI/CD pipelines. It offers features such as mock services, user-centric interface design, personalization, integration with third-party APIs, and scalable architecture for high performance.

folk is a CRM tool designed to help users build real relationships to close winning deals. It offers features such as 1-click enrichment, messages & sequences, dashboards, pipeline management, and integrations. With folk, users can connect their CRM to LinkedIn, Gmail, and Outlook, access workspace templates, customize pipeline views, and benefit from social media prospecting. The tool also provides email and calendar sync, 1-click enrichment for finding emails, and over 6000 integrations for syncing with favorite tools. Additionally, folk offers AI-generated variables, conversation templates, actionable insights for team collaboration, smart fields, message analytics, and customizable dashboards.

Kusho is an AI-powered tool designed to help software developers build bug-free software efficiently. It offers the capability to transform API specs into exhaustive test suites that seamlessly integrate into the CI/CD pipeline. With KushoAI, developers can generate robust AI-generated test suites, receive AI-analyzed test results, and modify code instantly based on real-time reports. The tool is customizable to meet company's context and understands natural language prompts to produce test case code instantly. KushoAI ensures maximum test coverage in minutes, saves hours of manual effort, and adapts to the codebase to prevent missing any test cases.

Codiga is a static code analysis tool that helps developers write clean, safe, and secure code. It works in real-time in your IDE and CI/CD pipelines, and it can be customized to meet your specific needs. Codiga supports a wide range of languages and frameworks, and it integrates with popular tools like GitHub, GitLab, and Bitbucket.

Credal is an AI tool that allows users to build secure AI assistants for enterprise operations. It enables every employee to create customized AI assistants with built-in security, permissions, and compliance features. Credal supports data integration, access control, search functionalities, and API development. The platform offers real-time sync, automatic permissions synchronization, and AI model deployment with security and compliance measures. It helps enterprises manage ETL pipelines, schedule tasks, and configure data processing. Credal ensures data protection, compliance with regulations like HIPAA, and comprehensive audit capabilities for generative AI applications.

Pipeless Agents is a platform that allows users to convert any video feed into an actionable data stream, enabling automation of tasks based on visual inputs. It serves as a serverless platform for Vision AI, offering the ability to create projects, connect video sources, and customize agents for specific needs. With a focus on simplicity and efficiency, Pipeless Agents empowers users to extract structured data from various video sources and automate processes with minimal coding requirements.

CloseFactor is an AI-powered GTM Operating System that helps sales teams close more deals by providing tailored opportunities with potential buyers who are ready to make a purchase. The platform utilizes machine learning and data analysis to identify the best-fit accounts, research their buying readiness in real-time, recommend contact engagements based on past successful deals, and automatically generate customized messages using generative AI. CloseFactor also assists in identifying the Ideal Customer Profile (ICP) by analyzing common characteristics of closed-won deals, enabling users to target the right accounts effectively. The tool has shown to increase the quality and quantity of pipeline from target accounts, improve marketing spend optimization, and enhance personalized outreach for better sales outcomes.

Buzz is an all-in-one sales engagement platform designed to help revenue teams engage more prospects and close more deals efficiently. It combines data sourcing, automation, and lead management to enable direct engagement with ideal clients. The platform offers features such as real-time inbox with detailed profile info, social outreach, email outreach, data enrichment, and pipeline management. Buzz also provides personalized AI assistance through a Chrome extension, allowing users to reach the right people at the right time through various channels. With seamless integrations and detailed reports, Buzz empowers users to make data-driven decisions and optimize their sales strategies.

FlexClip is a powerful yet easy-to-use online video editing tool. With its extensive templates and resources, you can easily create high-quality videos for personal or business purposes without any learning curve.

The website offers an auto backend service for users to describe and customize their backend functionalities. Users can create a to-do list, view Reddit trending topics, get random Pokemon, use a Twitter clone, manage a calendar, check Ethereum balance, and submit descriptions. The site is currently experiencing rate limits due to heavy traffic.

SnapSite is an AI-powered website service that allows users to customize their website effortlessly. With its flat-rate all-in-one solution, there's no need for design, development, or marketing expertise. Users can simply send their request in natural language and SnapSite will deliver a stunning, highly functional website tailored to their specific needs.

My Hacker News is an AI-powered platform that offers a personalized daily dose of Hacker News through a customized newsletter. The platform utilizes AI algorithms, including Claude3.5 Sonnet and GPT-4o, to semantically index HN stories and comments daily, finding new stories matching users' interests and reranking them. Users receive a tailored newsletter directly in their inbox, saving time and keeping them informed. The platform allows users to shape their digest and offers a free digest email service without the need for sign up.

ChartAI is an AI tool that allows users to customize bar charts from screenshots. Users can upload their chart images, and ChartAI's visual recognition technology extracts the data to recreate the chart. Users can adjust the style, add or remove data, and change the chart type effortlessly. The tool simplifies the process of creating charts and provides quick updates based on user requests.

OffRobe is a powerful NSFW AI image generator and editor that allows users to create and edit realistic and high-quality NSFW images with ease. The platform is designed with strong privacy and security measures to ensure that users' activities and data remain confidential. OffRobe's AI models offer a high level of customization, enabling users to bring their unique fantasies to life. With its user-friendly interface and advanced features, OffRobe is the perfect tool for anyone looking to explore the world of NSFW AI art.

Oda Moodboard is an AI-powered tool that allows users to create mood boards for their home decor. With Oda Moodboard, users can choose their style and color preferences, and the AI will generate a mood board with matching images. Users can also upload their own photos to create a mood board. Oda Moodboard is a great way to get inspiration for your home decor, and it can help you to create a cohesive look for your home.

VERSA is a text-based adventure game that allows users to choose their own adventure and customize their companion. Users can choose from a variety of settings, including sci-fi, wild-west, horror, drama, war, university, or fantasy. They can also choose a male, female, or non-binary companion to be their friend, romance, or enemy. VERSA is designed to push the limits of what's possible with a 1-gem model, while keeping it as entertaining as possible.

Quick QR Art is a free QR Code AI Art Generator that allows users to create, customize, and track stunning QR Codes Art. With Quick QR Art, users can easily generate QR Codes Art that are fully customizable, dynamic, and trackable. Quick QR Art also offers a comprehensive suite of link management tools, making it easy to manage and track all of your links in one place. Whether you're looking to create QR Codes Art for marketing, branding, or personal use, Quick QR Art has you covered.

Greetsapp is an online platform that allows users to create and send personalized ecards for various occasions. It uses AI-powered writing tools to suggest the perfect words and phrases for each message, making it easy for users to create heartfelt and meaningful greetings. With Greetsapp, users can select from dozens of styles and generate a completely original work of art in seconds. They can also customize their greetings with their own images and messages. Greetsapp's ecards can be delivered via text or email within moments, making it a convenient way to stay connected with loved ones no matter the distance.

Project Lakechain is a cloud-native, AI-powered framework for building document processing pipelines on AWS. It provides a composable API with built-in middlewares for common tasks, scalable architecture, cost efficiency, GPU and CPU support, and the ability to create custom transform middlewares. With ready-made examples and emphasis on modularity, Lakechain simplifies the deployment of scalable document pipelines for tasks like metadata extraction, NLP analysis, text summarization, translations, audio transcriptions, computer vision, and more.

R2R (RAG to Riches) is a fast and efficient framework for serving high-quality Retrieval-Augmented Generation (RAG) to end users. The framework is designed with customizable pipelines and a feature-rich FastAPI implementation, enabling developers to quickly deploy and scale RAG-based applications. R2R was conceived to bridge the gap between local LLM experimentation and scalable production solutions. **R2R is to LangChain/LlamaIndex what NextJS is to React**. A JavaScript client for R2R deployments can be found here. ### Key Features * **🚀 Deploy** : Instantly launch production-ready RAG pipelines with streaming capabilities. * **🧩 Customize** : Tailor your pipeline with intuitive configuration files. * **🔌 Extend** : Enhance your pipeline with custom code integrations. * **⚖️ Autoscale** : Scale your pipeline effortlessly in the cloud using SciPhi. * **🤖 OSS** : Benefit from a framework developed by the open-source community, designed to simplify RAG deployment.

**deep** doctection is a Python library that orchestrates document extraction and document layout analysis tasks using deep learning models. It does not implement models but enables you to build pipelines using highly acknowledged libraries for object detection, OCR and selected NLP tasks and provides an integrated framework for fine-tuning, evaluating and running models. For more specific text processing tasks use one of the many other great NLP libraries. **deep** doctection focuses on applications and is made for those who want to solve real world problems related to document extraction from PDFs or scans in various image formats. **deep** doctection provides model wrappers of supported libraries for various tasks to be integrated into pipelines. Its core function does not depend on any specific deep learning library. Selected models for the following tasks are currently supported: * Document layout analysis including table recognition in Tensorflow with **Tensorpack**, or PyTorch with **Detectron2**, * OCR with support of **Tesseract**, **DocTr** (Tensorflow and PyTorch implementations available) and a wrapper to an API for a commercial solution, * Text mining for native PDFs with **pdfplumber**, * Language detection with **fastText**, * Deskewing and rotating images with **jdeskew**. * Document and token classification with all LayoutLM models provided by the **Transformer library**. (Yes, you can use any LayoutLM-model with any of the provided OCR-or pdfplumber tools straight away!). * Table detection and table structure recognition with **table-transformer**. * There is a small dataset for token classification available and a lot of new tutorials to show, how to train and evaluate this dataset using LayoutLMv1, LayoutLMv2, LayoutXLM and LayoutLMv3. * Comprehensive configuration of **analyzer** like choosing different models, output parsing, OCR selection. Check this notebook or the docs for more infos. * Document layout analysis and table recognition now runs with **Torchscript** (CPU) as well and **Detectron2** is not required anymore for basic inference. * [**new**] More angle predictors for determining the rotation of a document based on **Tesseract** and **DocTr** (not contained in the built-in Analyzer). * [**new**] Token classification with **LiLT** via **transformers**. We have added a model wrapper for token classification with LiLT and added a some LiLT models to the model catalog that seem to look promising, especially if you want to train a model on non-english data. The training script for LayoutLM can be used for LiLT as well and we will be providing a notebook on how to train a model on a custom dataset soon. **deep** doctection provides on top of that methods for pre-processing inputs to models like cropping or resizing and to post-process results, like validating duplicate outputs, relating words to detected layout segments or ordering words into contiguous text. You will get an output in JSON format that you can customize even further by yourself. Have a look at the **introduction notebook** in the notebook repo for an easy start. Check the **release notes** for recent updates. **deep** doctection or its support libraries provide pre-trained models that are in most of the cases available at the **Hugging Face Model Hub** or that will be automatically downloaded once requested. For instance, you can find pre-trained object detection models from the Tensorpack or Detectron2 framework for coarse layout analysis, table cell detection and table recognition. Training is a substantial part to get pipelines ready on some specific domain, let it be document layout analysis, document classification or NER. **deep** doctection provides training scripts for models that are based on trainers developed from the library that hosts the model code. Moreover, **deep** doctection hosts code to some well established datasets like **Publaynet** that makes it easy to experiment. It also contains mappings from widely used data formats like COCO and it has a dataset framework (akin to **datasets** so that setting up training on a custom dataset becomes very easy. **This notebook** shows you how to do this. **deep** doctection comes equipped with a framework that allows you to evaluate predictions of a single or multiple models in a pipeline against some ground truth. Check again **here** how it is done. Having set up a pipeline it takes you a few lines of code to instantiate the pipeline and after a for loop all pages will be processed through the pipeline.

Sematic is an open-source ML development platform that allows ML Engineers and Data Scientists to write complex end-to-end pipelines with Python. It can be executed locally, on a cloud VM, or on a Kubernetes cluster. Sematic enables chaining data processing jobs with model training into reproducible pipelines that can be monitored and visualized in a web dashboard. It offers features like easy onboarding, local-to-cloud parity, end-to-end traceability, access to heterogeneous compute resources, and reproducibility.

Airbyte is an open-source data integration platform that makes it easy to move data from any source to any destination. With Airbyte, you can build and manage data pipelines without writing any code. Airbyte provides a library of pre-built connectors that make it easy to connect to popular data sources and destinations. You can also create your own connectors using Airbyte's no-code Connector Builder or low-code CDK. Airbyte is used by data engineers and analysts at companies of all sizes to build and manage their data pipelines.

AdalFlow is a library designed to help developers build and optimize Large Language Model (LLM) task pipelines. It follows a design pattern similar to PyTorch, offering a light, modular, and robust codebase. Named in honor of Ada Lovelace, AdalFlow aims to inspire more women to enter the AI field. The library is tailored for various GenAI applications like chatbots, translation, summarization, code generation, and autonomous agents, as well as classical NLP tasks such as text classification and named entity recognition. AdalFlow emphasizes modularity, robustness, and readability to support users in customizing and iterating code for their specific use cases.

LightRAG is a PyTorch library designed for building and optimizing Retriever-Agent-Generator (RAG) pipelines. It follows principles of simplicity, quality, and optimization, offering developers maximum customizability with minimal abstraction. The library includes components for model interaction, output parsing, and structured data generation. LightRAG facilitates tasks like providing explanations and examples for concepts through a question-answering pipeline.

The Unify Python Package provides access to the Unify REST API, allowing users to query Large Language Models (LLMs) from any Python 3.7.1+ application. It includes Synchronous and Asynchronous clients with Streaming responses support. Users can easily use any endpoint with a single key, route to the best endpoint for optimal throughput, cost, or latency, and customize prompts to interact with the models. The package also supports dynamic routing to automatically direct requests to the top-performing provider. Additionally, users can enable streaming responses and interact with the models asynchronously for handling multiple user requests simultaneously.

TrustGraph is a tool that deploys private GraphRAG pipelines to build a RDF style knowledge graph from data, enabling accurate and secure `RAG` requests compatible with cloud LLMs and open-source SLMs. It showcases the reliability and efficiencies of GraphRAG algorithms, capturing contextual language flags missed in conventional RAG approaches. The tool offers features like PDF decoding, text chunking, inference of various LMs, RDF-aligned Knowledge Graph extraction, and more. TrustGraph is designed to be modular, supporting multiple Language Models and environments, with a plug'n'play architecture for easy customization.

Airbyte is an open-source data integration platform that makes it easy to move data from any source to any destination. With Airbyte, you can build and manage data pipelines without writing any code. Airbyte provides a library of pre-built connectors that make it easy to connect to popular data sources and destinations. You can also create your own connectors using Airbyte's low-code Connector Development Kit (CDK). Airbyte is used by data engineers and analysts at companies of all sizes to move data for a variety of purposes, including data warehousing, data analysis, and machine learning.

This repository provides code for extracting image and text features using OpenAI CLIP models, supporting both global and local grid visual features. It aims to facilitate multi visual-and-language downstream tasks by allowing users to customize input and output grid resolution easily. The extracted features have shown comparable or superior results in image captioning tasks without hyperparameter tuning. The repo supports various CLIP models and provides detailed information on supported settings and results on MSCOCO image captioning. Users can get started by setting up experiments with the extracted features using X-modaler.

VMind is an open-source solution for intelligent visualization, providing an intelligent chart component based on LLM by VisActor. It allows users to create chart narrative works with natural language interaction, edit charts through dialogue, and export narratives as videos or GIFs. The tool is easy to use, scalable, supports various chart types, and offers one-click export functionality. Users can customize chart styles, specify themes, and aggregate data using LLM models. VMind aims to enhance efficiency in creating data visualization works through dialogue-based editing and natural language interaction.

FoundationaLLM is a platform designed for deploying, scaling, securing, and governing generative AI in enterprises. It allows users to create AI agents grounded in enterprise data, integrate REST APIs, experiment with large language models, centrally manage AI agents and assets, deploy scalable vectorization data pipelines, enable non-developer users to create their own AI agents, control access with role-based access controls, and harness capabilities from Azure AI and Azure OpenAI. The platform simplifies integration with enterprise data sources, provides fine-grain security controls, load balances across multiple endpoints, and is extensible to new data sources and orchestrators. FoundationaLLM addresses the need for customized copilots or AI agents that are secure, licensed, flexible, and suitable for enterprise-scale production.

Jina is a tool that allows users to build multimodal AI services and pipelines using cloud-native technologies. It provides a Pythonic experience for serving ML models and transitioning from local deployment to advanced orchestration frameworks like Docker-Compose, Kubernetes, or Jina AI Cloud. Users can build and serve models for any data type and deep learning framework, design high-performance services with easy scaling, serve LLM models while streaming their output, integrate with Docker containers via Executor Hub, and host on CPU/GPU using Jina AI Cloud. Jina also offers advanced orchestration and scaling capabilities, a smooth transition to the cloud, and easy scalability and concurrency features for applications. Users can deploy to their own cloud or system with Kubernetes and Docker Compose integration, and even deploy to JCloud for autoscaling and monitoring.

Kernel Memory (KM) is a multi-modal AI Service specialized in the efficient indexing of datasets through custom continuous data hybrid pipelines, with support for Retrieval Augmented Generation (RAG), synthetic memory, prompt engineering, and custom semantic memory processing. KM is available as a Web Service, as a Docker container, a Plugin for ChatGPT/Copilot/Semantic Kernel, and as a .NET library for embedded applications. Utilizing advanced embeddings and LLMs, the system enables Natural Language querying for obtaining answers from the indexed data, complete with citations and links to the original sources. Designed for seamless integration as a Plugin with Semantic Kernel, Microsoft Copilot and ChatGPT, Kernel Memory enhances data-driven features in applications built for most popular AI platforms.

Prompt Panel is a tool designed to accelerate the adoption of AI agents by providing a platform where users can run large language models across any inference provider, create custom agent plugins, and use their own data safely. The tool allows users to break free from walled-gardens and have full control over their models, conversations, and logic. With Prompt Panel, users can pair their data with any language model, online or offline, and customize the system to meet their unique business needs without any restrictions.

Bolna is an open-source platform for building voice-driven conversational applications using large language models (LLMs). It provides a comprehensive set of tools and integrations to handle various aspects of voice-based interactions, including telephony, transcription, LLM-based conversation handling, and text-to-speech synthesis. Bolna simplifies the process of creating voice agents that can perform tasks such as initiating phone calls, transcribing conversations, generating LLM-powered responses, and synthesizing speech. It supports multiple providers for each component, allowing users to customize their setup based on their specific needs. Bolna is designed to be easy to use, with a straightforward local setup process and well-documented APIs. It is also extensible, enabling users to integrate with other telephony providers or add custom functionality.

Crawl4AI is a powerful and free web crawling service that extracts valuable data from websites and provides LLM-friendly output formats. It supports crawling multiple URLs simultaneously, replaces media tags with ALT, and is completely free to use and open-source. Users can integrate Crawl4AI into Python projects as a library or run it as a standalone local server. The tool allows users to crawl and extract data from specified URLs using different providers and models, with options to include raw HTML content, force fresh crawls, and extract meaningful text blocks. Configuration settings can be adjusted in the `crawler/config.py` file to customize providers, API keys, chunk processing, and word thresholds. Contributions to Crawl4AI are welcome from the open-source community to enhance its value for AI enthusiasts and developers.

Hercules is the world’s first open-source testing agent designed to handle the toughest testing tasks for modern web applications. It turns simple Gherkin steps into fully automated end-to-end tests, making testing simple, reliable, and efficient. Hercules adapts to various platforms like Salesforce and is suitable for CI/CD pipelines. It aims to democratize and disrupt test automation, making top-tier testing accessible to everyone. The tool is transparent, reliable, and community-driven, empowering teams to deliver better software. Hercules offers multiple ways to get started, including using PyPI package, Docker, or building and running from source code. It supports various AI models, provides detailed installation and usage instructions, and integrates with Nuclei for security testing and WCAG for accessibility testing. The tool is production-ready, open core, and open source, with plans for enhanced LLM support, advanced tooling, improved DOM distillation, community contributions, extensive documentation, and a bounty program.

Crawlee-python is a web scraping and browser automation library that covers crawling and scraping end-to-end, helping users build reliable scrapers fast. It allows users to crawl the web for links, scrape data, and store it in machine-readable formats without worrying about technical details. With rich configuration options, users can customize almost any aspect of Crawlee to suit their project's needs.

Pipedrive CRM expert assisting novice users with 'How to' guides and answers.

Helps design and customize tattoos, recommends artists, and provides aftercare advice.

Create, Customize, and Track Stunning QR Codes Art with Our Free QR Code AI Art Generator. Seamlessly integrate these artistic codes into your marketing materials, packaging, and digital platforms.

I will help you develop, customize and launch your custom GPTs!

Executes tasks via short commands instantly, using a single seesion to customize commands.

Welcome to GAPP Store: Chat, create, customize—your all-in-one AI app universe

I generate themed video call backgrounds with a central focus.

Avatar customizer GPT

定制张家界旅行计划的旅游指南助手

Expert in sneaker customization, buying, collecting, and offering detailed advice on painting techniques and design inspiration

A virtual chef expert in customizing recipes, drink pairings, and cooking advice.

Adaptable Dead by Daylight expert, tailoring responses to player styles.

Adapts news tone for demographics

I create 3D doll head models from photos or descriptions.

Generates detailed orthopedic surgery cards using uploaded formats.

I create artistic EDM visuals and assist with video customization.

Customizes website project plans for various industries.

Guides in creating, customizing Airtable scripts with user-friendly explanations.

Create a QR code in 30 seconds + add a cool design effect or overlay it on top of any image. Free, no watermarks, no email required, and we don't store your messages/images.

Develops training programs, customizing content to fit corporate culture and objectives.