Best AI tools for< Monitor Data Pipelines >

Hopsworks is an AI platform that offers a comprehensive solution for building, deploying, and monitoring machine learning systems. It provides features such as a Feature Store, real-time ML capabilities, and generative AI solutions. Hopsworks enables users to develop and deploy reliable AI systems, orchestrate and monitor models, and personalize machine learning models with private data. The platform supports batch and real-time ML tasks, with the flexibility to deploy on-premises or in the cloud.

Athina AI is a comprehensive platform designed to monitor, debug, analyze, and improve the performance of Large Language Models (LLMs) in production environments. It provides a suite of tools and features that enable users to detect and fix hallucinations, evaluate output quality, analyze usage patterns, and optimize prompt management. Athina AI supports integration with various LLMs and offers a range of evaluation metrics, including context relevancy, harmfulness, summarization accuracy, and custom evaluations. It also provides a self-hosted solution for complete privacy and control, a GraphQL API for programmatic access to logs and evaluations, and support for multiple users and teams. Athina AI's mission is to empower organizations to harness the full potential of LLMs by ensuring their reliability, accuracy, and alignment with business objectives.

Haystack is a production-ready open-source AI framework designed to facilitate building AI applications. It offers a flexible components and pipelines architecture, allowing users to customize and build applications according to their specific requirements. With partnerships with leading LLM providers and AI tools, Haystack provides freedom of choice for users. The framework is built for production, with fully serializable pipelines, logging, monitoring integrations, and deployment guides for full-scale deployments on various platforms. Users can build Haystack apps faster using deepset Studio, a platform for drag-and-drop construction of pipelines, testing, debugging, and sharing prototypes.

Baseten is a machine learning infrastructure that provides a unified platform for data scientists and engineers to build, train, and deploy machine learning models. It offers a range of features to simplify the ML lifecycle, including data preparation, model training, and deployment. Baseten also provides a marketplace of pre-built models and components that can be used to accelerate the development of ML applications.

DevSecCops is an AI-driven automation platform designed to revolutionize DevSecOps processes. The platform offers solutions for cloud optimization, machine learning operations, data engineering, application modernization, infrastructure monitoring, security, compliance, and more. With features like one-click infrastructure security scan, AI engine security fixes, compliance readiness using AI engine, and observability, DevSecCops aims to enhance developer productivity, reduce cloud costs, and ensure secure and compliant infrastructure management. The platform leverages AI technology to identify and resolve security issues swiftly, optimize AI workflows, and provide cost-saving techniques for cloud architecture.

Browse AI is an AI-powered data extraction and monitoring platform that allows users to scrape and monitor data from any website without the need for coding. It offers a full suite of features for stress-free data extraction, including turning websites into APIs, monitoring for changes, and creating prebuilt robots for various use cases. With over 7,000 integrations, Browse AI ensures reliable and scalable data extraction with no coding required. The platform is trusted by over 558,000 users worldwide and is designed to simplify the process of turning any website into a reliable data pipeline.

Reach is a sales engagement platform that helps businesses generate more leads and close more deals. It uses artificial intelligence to monitor leads across multiple data sources for relevant triggers, such as job changes, company news, and social media activity. Reach then provides sales reps with daily notifications of these triggers, along with personalized icebreaker suggestions and AI-generated copy. This enables sales reps to reach out to leads at the right time with the right message, increasing their chances of success.

Langtrace AI is an open-source observability tool powered by Scale3 Labs that helps monitor, evaluate, and improve LLM (Large Language Model) applications. It collects and analyzes traces and metrics to provide insights into the ML pipeline, ensuring security through SOC 2 Type II certification. Langtrace supports popular LLMs, frameworks, and vector databases, offering end-to-end observability and the ability to build and deploy AI applications with confidence.

Amazon Bedrock is a cloud-based platform that enables developers to build, deploy, and manage serverless applications. It provides a fully managed environment that takes care of the infrastructure and operations, so developers can focus on writing code. Bedrock also offers a variety of tools and services to help developers build and deploy their applications, including a code editor, a debugger, and a deployment pipeline.

Fetcher is an AI-powered recruitment platform that simplifies the hiring process by providing curated batches of talented candidates tailored to specific needs. It eliminates manual sourcing by leveraging advanced AI technology and human expertise to deliver high-quality candidate profiles directly to the user's inbox. With features like personalized email outreach, recruitment analytics, and diversity metrics monitoring, Fetcher optimizes the recruitment pipeline and enhances candidate engagement. Trusted by top recruiting teams worldwide, Fetcher offers unlimited candidate connections and email performance analytics to streamline the hiring strategy.

Factors.AI is a B2B account intelligence, analytics, and attribution tool designed to help businesses grow their pipeline by identifying and engaging with high-intent accounts. The platform offers features such as revenue attribution, customer journey tracking, unified reporting, and integrations with sales and marketing tools. Factors.AI provides AI-led insights to refine marketing strategies, optimize sales performance, and maximize ROI. With a focus on intent-driven outreach and account identification, Factors.AI empowers users to make data-driven decisions and drive revenue growth.

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.

Boomerang is an AI-powered sales pipeline tool that helps businesses turn happy customers into revenue opportunities by tracking job changes, automating follow-ups, and generating warm intros. It offers features such as contact tracking, account tracking, warm intros, auto org charts, and CRM data quality. Boomerang outperforms competitors in pipeline conversion and job change tracking speed. The tool is designed to boost revenue growth, increase repeat buyers, and enhance customer engagement through personalized interactions.

Lightup is a cloud data quality monitoring tool with AI-powered anomaly detection, incident alerts, and data remediation capabilities for modern enterprise data stacks. It specializes in helping large organizations implement successful and sustainable data quality programs quickly and easily. Lightup's pushdown architecture allows for monitoring data content at massive scale without moving or copying data, providing extreme scalability and optimal automation. The tool empowers business users with democratized data quality checks and enables automatic fixing of bad data at enterprise scale.

Evidently AI is an open-source machine learning (ML) monitoring and observability platform that helps data scientists and ML engineers evaluate, test, and monitor ML models from validation to production. It provides a centralized hub for ML in production, including data quality monitoring, data drift monitoring, ML model performance monitoring, and NLP and LLM monitoring. Evidently AI's features include customizable reports, structured checks for data and models, and a Python library for ML monitoring. It is designed to be easy to use, with a simple setup process and a user-friendly interface. Evidently AI is used by over 2,500 data scientists and ML engineers worldwide, and it has been featured in publications such as Forbes, VentureBeat, and TechCrunch.

Qubinets is a cloud data environment solutions platform that provides building blocks for building big data, AI, web, and mobile environments. It is an open-source, no lock-in, secured, and private platform that can be used on any cloud, including AWS, Digital Ocean, Google Cloud, and Microsoft Azure. Qubinets makes it easy to plan, build, and run data environments, and it streamlines and saves time and money by reducing the grunt work in setup and provisioning.

illumex is a generative semantic fabric platform designed to streamline the process of data and analytics interpretation and rationalization for complex enterprises. It offers augmented analytics creation, suggestive data and analytics utilization monitoring, and automated knowledge documentation to enhance agentic performance for analytics. The platform aims to solve the challenges of traditional tedious data analysis, incongruent data and metrics, and tribal knowledge of data teams.

Fastn is a no-code, AI-powered orchestration platform for developers to integrate and orchestrate multiple data sources in a single, unified API. It allows users to connect any data flow and create hundreds of app integrations efficiently. Fastn simplifies API integration, ensures API security, and handles data from multiple sources with features like real-time data orchestration, instant API composition, and infrastructure management on autopilot.

Marketing Dive is an AI-powered digital marketing news platform that provides industry professionals with the latest updates, trends, and insights in the marketing world. The platform covers a wide range of topics including social media, brand strategy, advertising, marketing technology, data/analytics, and content marketing. Marketing Dive offers daily newsletters, weekly updates, and in-depth articles to keep marketers informed and engaged with the rapidly evolving landscape of digital marketing.

MagicLoop is a voice survey tool designed to enhance customer feedback by replacing written feedback with spoken responses. It allows users to gather higher-quality responses through voice surveys, capturing emotions, tones, and nuances for a deeper understanding of participants' feelings and intentions. The tool aims to improve participant engagement and provide detailed insights by encouraging genuine responses. MagicLoop offers a modern approach to surveys, addressing the limitations of traditional methods and providing tailored solutions for various use cases such as user research, satisfaction surveys, NPS, feedback collection, market research, and data monitoring. With features like AI analysis, speech-to-text transcription, and custom branding, MagicLoop streamlines the process of generating insights from voice recordings.

LLM App Stack, also known as Emerging Architectures for LLM Applications, is a comprehensive list of available tools, projects, and vendors at each layer of the LLM app stack. It covers various categories such as Data Pipelines, Embedding Models, Vector Databases, Playgrounds, Orchestrators, APIs/Plugins, LLM Caches, Logging/Monitoring/Eval, Validators, LLM APIs (proprietary and open source), App Hosting Platforms, Cloud Providers, and Opinionated Clouds. The repository aims to provide a detailed overview of tools and projects for building, deploying, and maintaining enterprise data solutions, AI models, and applications.

Evidently is an open-source Python library designed for evaluating, testing, and monitoring machine learning (ML) and large language model (LLM) powered systems. It offers a wide range of functionalities, including working with tabular, text data, and embeddings, supporting predictive and generative systems, providing over 100 built-in metrics for data drift detection and LLM evaluation, allowing for custom metrics and tests, enabling both offline evaluations and live monitoring, and offering an open architecture for easy data export and integration with existing tools. Users can utilize Evidently for one-off evaluations using Reports or Test Suites in Python, or opt for real-time monitoring through the Dashboard service.

Bespoke Curator is an open-source tool for data curation and structured data extraction. It provides a Python library for generating synthetic data at scale, with features like programmability, performance optimization, caching, and integration with HuggingFace Datasets. The tool includes a Curator Viewer for dataset visualization and offers a rich set of functionalities for creating and refining data generation strategies.

The 'ai-dev-2024-ml-workshop' repository contains materials for the Deploy and Monitor ML Pipelines workshop at the AI_dev 2024 conference in Paris, focusing on deployment designs of machine learning pipelines using open-source applications and free-tier tools. It demonstrates automating data refresh and forecasting using GitHub Actions and Docker, monitoring with MLflow and YData Profiling, and setting up a monitoring dashboard with Quarto doc on GitHub Pages.

Flyte is an open-source orchestrator that facilitates building production-grade data and ML pipelines. It is built for scalability and reproducibility, leveraging Kubernetes as its underlying platform. With Flyte, user teams can construct pipelines using the Python SDK, and seamlessly deploy them on both cloud and on-premises environments, enabling distributed processing and efficient resource utilization.

Mage is an open-source data pipeline tool for transforming and integrating data. It offers an easy developer experience, engineering best practices built-in, and data as a first-class citizen. Mage makes it easy to build, preview, and launch data pipelines, and provides observability and scaling capabilities. It supports data integrations, streaming pipelines, and dbt integration.

Tonic Validate is a framework for the evaluation of LLM outputs, such as Retrieval Augmented Generation (RAG) pipelines. Validate makes it easy to evaluate, track, and monitor your LLM and RAG applications. Validate allows you to evaluate your LLM outputs through the use of our provided metrics which measure everything from answer correctness to LLM hallucination. Additionally, Validate has an optional UI to visualize your evaluation results for easy tracking and monitoring.

The LLM Engineer's Handbook is an official repository containing a comprehensive guide on creating an end-to-end LLM-based system using best practices. It covers data collection & generation, LLM training pipeline, a simple RAG system, production-ready AWS deployment, comprehensive monitoring, and testing and evaluation framework. The repository includes detailed instructions on setting up local and cloud dependencies, project structure, installation steps, infrastructure setup, pipelines for data processing, training, and inference, as well as QA, tests, and running the project end-to-end.

Towhee is a cutting-edge framework designed to streamline the processing of unstructured data through the use of Large Language Model (LLM) based pipeline orchestration. It can extract insights from diverse data types like text, images, audio, and video files using generative AI and deep learning models. Towhee offers rich operators, prebuilt ETL pipelines, and a high-performance backend for efficient data processing. With a Pythonic API, users can build custom data processing pipelines easily. Towhee is suitable for tasks like sentence embedding, image embedding, video deduplication, question answering with documents, and cross-modal retrieval based on CLIP.

A curated list of 50+ resources to help you become a Generative AI Data Scientist. This repository includes resources on building GenAI applications with Large Language Models (LLMs), and deploying LLMs and GenAI with Cloud-based solutions.

This open-source course teaches how to build an advanced RAG and LLM system using LLMOps and ML systems best practices. It helps you create an AI assistant that leverages your personal knowledge base to answer questions, summarize documents, and provide insights. The course covers topics such as LLM system architecture, pipeline orchestration, large-scale web crawling, model fine-tuning, and advanced RAG features. It is suitable for ML/AI engineers and data/software engineers & data scientists looking to level up to production AI systems. The course is free, with minimal costs for tools like OpenAI's API and Hugging Face's Dedicated Endpoints. Participants will build two separate Python applications for offline ML pipelines and online inference pipeline.

Awesome MLOps is a curated list of tools related to Machine Learning Operations, covering areas such as AutoML, CI/CD for Machine Learning, Data Cataloging, Data Enrichment, Data Exploration, Data Management, Data Processing, Data Validation, Data Visualization, Drift Detection, Feature Engineering, Feature Store, Hyperparameter Tuning, Knowledge Sharing, Machine Learning Platforms, Model Fairness and Privacy, Model Interpretability, Model Lifecycle, Model Serving, Model Testing & Validation, Optimization Tools, Simplification Tools, Visual Analysis and Debugging, and Workflow Tools. The repository provides a comprehensive collection of tools and resources for individuals and teams working in the field of MLOps.

BionicGPT is an on-premise replacement for ChatGPT, offering the advantages of Generative AI while maintaining strict data confidentiality. BionicGPT can run on your laptop or scale into the data center.

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.

This repository is a curated list of open-source libraries for production large language models. It includes tools for data preprocessing, training/finetuning, evaluation/benchmarking, serving/inference, application/RAG, testing/monitoring, and guardrails/security. The repository also provides a new category called LLM Cookbook/Examples for showcasing examples and guides on using various LLM APIs.

AI System School is a curated list of research in machine learning systems, focusing on ML/DL infra, LLM infra, domain-specific infra, ML/LLM conferences, and general resources. It provides resources such as data processing, training systems, video systems, autoML systems, and more. The repository aims to help users navigate the landscape of AI systems and machine learning infrastructure, offering insights into conferences, surveys, books, videos, courses, and blogs related to the field.

AITreasureBox is a comprehensive collection of AI tools and resources designed to simplify and accelerate the development of AI projects. It provides a wide range of pre-trained models, datasets, and utilities that can be easily integrated into various AI applications. With AITreasureBox, developers can quickly prototype, test, and deploy AI solutions without having to build everything from scratch. Whether you are working on computer vision, natural language processing, or reinforcement learning projects, AITreasureBox has something to offer for everyone. The repository is regularly updated with new tools and resources to keep up with the latest advancements in the field of artificial intelligence.

A curated list of Generative AI projects, tools, artworks, and models

A specialist in DataOps and Data Observability, aiding in data management and monitoring.

An expert MLOps engineer assisting in DevOps and pipeline optimization.

Travel and Hospitality Industry. Hotels, Airlines, and Travel Agencies collect personal information like travel histories, passport details, and payment information, necessitating robust privacy and security measures.

Advises companies on data privacy laws, performs compliance checks, and implements data protection strategies.

Mon expert en protection des données

Compose BigQuery SQL queries for GA4 and Google Search Console.

Seismic and volcanic monitor with in-depth data and visuals.

Stay informed on AGI - with the latest, most relevant news.

Real-time Ethereum Blockchain Data & Insights (with Etherscan.io)

I analyze your workout data, focusing on brevity and clear visualizations

Frost Protection System is an AI bot optimizing open field farming of fruits, vegetables, and flowers, combining real-time data and AI to boost yield, cut costs, and foster sustainable practices in a user-friendly interface.

Explains data breaches, reasons, impacts, and identifies criminal groups.

Data and Market analysis

BNB data analyzer and predictor for PancakeSwap

Analyzes GSC data and highlights the impact of search updates.

I will create a quality data set for a personality AI, just dive into each module by saying the name of it and do so for all the modules. If you find it useful, share it to your friends

Assists conservationists in protecting endangered species by analyzing habitat data and suggesting conservation strategies.

Expert in real-time trend analysis, sourcing data-driven insights (e.g. prompt: Give me last month's top trends in AI)

Data analysis and insight tool for SMEs.

Expert in BIGA and Neapolitan pizza dough recipes, focusing on tailored calculations and precise temperature data.