Best AI tools for< Publish Data >

Openfabric is a decentralized AI platform that serves as a planetary-scale network for building and connecting decentralized AI applications. It harnesses the power of blockchain, advanced cryptography, and novel infrastructure to create a new foundation for AI-Apps. Openfabric lowers the infrastructure demand and technical know-how required to utilize AI-Apps, facilitates new market opportunities, ensures execution scalability, and stimulates fair market competition. The platform allows users to build and monetize AI-Apps, deploy infrastructure, rent computing power, publish data, and participate in network operations.

Alta is a no-code AI-powered application builder that allows users to quickly and easily create AI chatbots, websites, and mobile apps. With Alta, users can design their app using drag-and-drop components, connect their data from various sources, and personalize their app with their own branding. Alta also provides real-time insights on all channels, allowing users to track their app's performance and optimize the user experience.

Bibit AI is a real estate marketing AI designed to enhance the efficiency and effectiveness of real estate marketing and sales. It can help create listings, descriptions, and property content, and offers a host of other features. Bibit AI is the world's first AI for Real Estate. We are transforming the real estate industry by boosting efficiency and simplifying tasks like listing creation and content generation.

Google Research is a leading research organization focusing on advancing science and artificial intelligence. They conduct research in various domains such as AI/ML foundations, responsible human-centric technology, science & societal impact, computing paradigms, and algorithms & optimization. Google Research aims to create an environment for diverse research across different time scales and levels of risk, driving advancements in computer science through fundamental and applied research. They publish hundreds of research papers annually, collaborate with the academic community, and work on projects that impact technology used by billions of people worldwide.

Fleak AI Workflows is a low-code serverless API Builder designed for data teams to effortlessly integrate, consolidate, and scale their data workflows. It simplifies the process of creating, connecting, and deploying workflows in minutes, offering intuitive tools to handle data transformations and integrate AI models seamlessly. Fleak enables users to publish, manage, and monitor APIs effortlessly, without the need for infrastructure requirements. It supports various data types like JSON, SQL, CSV, and Plain Text, and allows integration with large language models, databases, and modern storage technologies.

SingularityNET is a decentralized AI platform that offers funding opportunities for AI projects. It allows individuals and organizations to develop and monetize their AI services while keeping ownership of their models. The platform aims to build a global ecosystem of decentralized and beneficial AI services through community-driven programs and rewards. SingularityNET provides a space for project proposals, expert reviews, and grants to support the growth of AI projects aligned with the goal of building a Beneficial Artificial General Intelligence.

Google Research is a team of scientists and engineers working on a wide range of topics in computer science, including artificial intelligence, machine learning, and quantum computing. Our mission is to advance the state of the art in these fields and to develop new technologies that can benefit society. We publish hundreds of research papers each year and collaborate with researchers from around the world. Our work has led to the development of many new products and services, including Google Search, Google Translate, and Google Maps.

Thumblytics is a tool that helps YouTubers test their YouTube thumbnails and titles before they publish them. It uses a combination of machine learning and human feedback to help users choose the best thumbnail and title combination for their videos. Thumblytics is designed to be easy to use, even for beginners. Users simply upload their thumbnail and title variants to Thumblytics, and the tool will preview them in a YouTube template and show them to hundreds of real people to collect click data. Thumblytics then crunches the data to help users pick the highest click-through rate (CTR) thumbnail and title.

Dr.Oracle is a personal AI research assistant that helps you find and understand the latest research in your field. With Dr.Oracle, you can search for research papers, track your favorite authors, and get personalized recommendations for new research. Dr.Oracle is the perfect tool for students, researchers, and anyone who wants to stay up-to-date on the latest research in their field.

Videograph is an AI-powered video streaming platform that offers a comprehensive suite of tools for video encoding, live streaming, monetization, analytics, and content distribution. It provides advanced features such as AI cropping for portrait videos, digital asset management, live streaming with low latency, content distribution analytics, and dynamic ad insertion. With seamless organization and precision analytics, Videograph aims to revolutionize video streaming experiences for users. The platform also offers plug-and-play APIs for easy integration and provides robust infrastructure for fast encoding and worldwide delivery.

Yarnit is a generative AI platform that provides a complete suite of tools for content creation, including ideation, writing, design, auditing, and publishing. It is designed to help businesses and teams create personalized and engaging content at scale. Yarnit's AI engine is trained on a vast dataset of text, images, and music, and it can generate unique and relevant content for a variety of purposes, such as blog posts, social media posts, ad campaigns, and more. Yarnit also offers a variety of design templates and AI-recommended premium stock images, music, and icons to help users create visually appealing content.

Apify is a full-stack web scraping and data extraction platform that provides developers with tools to build, deploy, and publish web scrapers, AI agents, and automation tools. The platform offers pre-built web scraping tools, serverless program execution, integrations with various apps and services, storage for scraper results, anti-blocking features, and open-source web scraping and crawling libraries.

Paragraph is an all-in-one publishing and newsletter platform that empowers creators worldwide to build their own decentralized media empire. With features like AI-powered writing assistance, advanced newsletter automation, and digital memberships, Paragraph provides everything creators need to turn their passions into a sustainable business. Trusted by thousands of creators, Paragraph offers tools for content creation, audience engagement, and revenue generation, all while ensuring creators maintain ownership of their relationship with their audience.

Affpilot is an AI-powered content writing tool that helps users generate high-quality, SEO-friendly articles with just a few clicks. It offers features like bulk article generation, Amazon product review article writing, AI-assisted writer, and more. Affpilot stands out with its user-friendly dashboard, advanced AI capabilities, and the ability to automatically publish articles to WordPress and Blogger sites. The tool is designed to streamline the content creation process and empower bloggers and content creators to produce engaging and optimized content effortlessly.

StoryFile is an AI application that pioneers Conversational Video AI, offering an interactive medium called a storyfile. The platform focuses on making authentic AI to enable users to have engaging conversations. StoryFile's technology utilizes AI principles and ethics to provide businesses with solutions through artificial intelligence. The application aims to revolutionize the way people interact with AI technology, emphasizing the importance of authenticity and meaningful conversations.

RapidAI Research Institute is an academic institution under the RapidAI open-source organization, a non-enterprise academic institution. It serves as a platform for academic research and collaboration, providing opportunities for aspiring researchers to publish papers and engage in scholarly activities. The institute offers mentorship programs and benefits for members, including access to resources such as internet connectivity, GPU configurations, and storage space. The management team consists of esteemed professionals in the field, ensuring a conducive environment for academic growth and development.

MindPal is an AI platform that enables users to design, deploy, and manage custom AI agents and multi-agent workflows to automate tasks and boost productivity in the workplace. Users can create specialized AI agents for various tasks, provide instructions and context, train agents with different types of data, and connect multiple agents to collaborate on complex workflows. MindPal offers a user-friendly interface to streamline the process of building AI workflows and provides a range of AI models to choose from.

Baseboard is an AI tool designed to help users gain insights from their data more efficiently. The platform offers an AI-assisted designer that enables users to create visually appealing charts for websites or publications. With Baseboard, users can easily generate stunning visualizations and leverage the power of AI to enhance their data analysis process.

MakeForms is a powerful and secure form builder that empowers teams to create advanced, visually stunning forms with top-notch security standards, now enhanced by AI capabilities. With MakeForms, you can create one-at-a-time, step forms, or all-at-once forms with ease using our user-friendly interface and intuitive design. You can also customize your forms with your own fonts and branding, and even publish them on your own domain, giving you complete control over your form's appearance and online presence. MakeForms also offers a variety of features to help you collect and organize your data, including a table view, summary view, and BI view. With MakeForms, you can be sure that your forms are secure and your data is protected.

iLovePhD is a comprehensive research platform that serves as a one-stop solution for all research needs. It offers a wide range of services including access to journals, postdoc opportunities, scholarships, IoT security tools, job listings, datasets, and UGC-CARE journals. The platform also features ChatGPT for plagiarism detection and artificial intelligence applications. iLovePhD aims to assist researchers and academicians in publishing impactful work and staying updated with the latest trends in the academic world.

The Open Data Editor (ODE) is a no-code application to explore, validate and publish data in a simple way. It is an open source project powered by the Frictionless Framework. The ODE is currently available for download and testing in beta.

aiomqtt is an idiomatic asyncio MQTT client that allows users to interact with MQTT brokers using asyncio in Python. It eliminates the need for callbacks and return codes, providing a more streamlined experience. The tool supports MQTT versions 5.0, 3.1.1, and 3.1, and offers graceful disconnection handling. It is fully type-hinted, making it easier to work with. Users can publish and subscribe to MQTT topics with ease, making it a versatile tool for MQTT communication in Python.

Eidos is an extensible framework for managing personal data in one place. It runs inside the browser as a PWA with offline support. It integrates AI features for translation, summarization, and data interaction. Users can customize Eidos with Prompt extension, JavaScript for Formula functions, TypeScript/JavaScript for data processing logic, and build apps using any framework. Eidos is developer-friendly with API & SDK, and uses SQLite standardization for data tables.

Upgini is an intelligent data search engine with a Python library that helps users find and add relevant features to their ML pipeline from various public, community, and premium external data sources. It automates the optimization of connected data sources by generating an optimal set of machine learning features using large language models, GraphNNs, and recurrent neural networks. The tool aims to simplify feature search and enrichment for external data to make it a standard approach in machine learning pipelines. It democratizes access to data sources for the data science community.

AI TrendPublish is an AI-based trend discovery and content publishing system that supports multi-source data collection, intelligent summarization, and automatic publishing to WeChat official accounts. It features data collection from various sources, AI-powered content processing using DeepseekAI Together, key information extraction, intelligent title generation, automatic article publishing to WeChat official accounts with custom templates and scheduled tasks, notification system integration with Bark for task status updates and error alerts. The tool offers multiple templates for content customization and is built using Node.js + TypeScript with AI services from DeepseekAI Together, data sources including Twitter/X API and FireCrawl, and uses node-cron for scheduling tasks and EJS as the template engine.

Zero-True is a Python and SQL reactive computational notebook designed for building and collaborating on data-driven applications. It offers an integrated and simple environment with transparent updates, dynamic and interactive UI rendering, fast prototyping capabilities, and open-source community contributions. Users can create rich, reactive apps with ease and publish them confidently. Zero-True aims to improve data accessibility and foster collaboration among users.

The receipt-scanner repository is an AI-Powered Receipt and Invoice Scanner for Laravel that allows users to easily extract structured receipt data from images, PDFs, and emails within their Laravel application using OpenAI. It provides a light wrapper around OpenAI Chat and Completion endpoints, supports various input formats, and integrates with Textract for OCR functionality. Users can install the package via composer, publish configuration files, and use it to extract data from plain text, PDFs, images, Word documents, and web content. The scanned receipt data is parsed into a DTO structure with main classes like Receipt, Merchant, and LineItem.

AI Audio Datasets List (AI-ADL) is a comprehensive collection of datasets consisting of speech, music, and sound effects, used for Generative AI, AIGC, AI model training, and audio applications. It includes datasets for speech recognition, speech synthesis, music information retrieval, music generation, audio processing, sound synthesis, and more. The repository provides a curated list of diverse datasets suitable for various AI audio tasks.

This simple package can be used to fix an invalid json string. To know all cases in which this package will work, check out the unit test. Inspired by https://github.com/josdejong/jsonrepair Motivation Some LLMs are a bit iffy when it comes to returning well formed JSON data, sometimes they skip a parentheses and sometimes they add some words in it, because that's what an LLM does. Luckily, the mistakes LLMs make are simple enough to be fixed without destroying the content. I searched for a lightweight python package that was able to reliably fix this problem but couldn't find any. So I wrote one How to use from json_repair import repair_json good_json_string = repair_json(bad_json_string) # If the string was super broken this will return an empty string You can use this library to completely replace `json.loads()`: import json_repair decoded_object = json_repair.loads(json_string) or just import json_repair decoded_object = json_repair.repair_json(json_string, return_objects=True) Read json from a file or file descriptor JSON repair provides also a drop-in replacement for `json.load()`: import json_repair try: file_descriptor = open(fname, 'rb') except OSError: ... with file_descriptor: decoded_object = json_repair.load(file_descriptor) and another method to read from a file: import json_repair try: decoded_object = json_repair.from_file(json_file) except OSError: ... except IOError: ... Keep in mind that the library will not catch any IO-related exception and those will need to be managed by you Performance considerations If you find this library too slow because is using `json.loads()` you can skip that by passing `skip_json_loads=True` to `repair_json`. Like: from json_repair import repair_json good_json_string = repair_json(bad_json_string, skip_json_loads=True) I made a choice of not using any fast json library to avoid having any external dependency, so that anybody can use it regardless of their stack. Some rules of thumb to use: - Setting `return_objects=True` will always be faster because the parser returns an object already and it doesn't have serialize that object to JSON - `skip_json_loads` is faster only if you 100% know that the string is not a valid JSON - If you are having issues with escaping pass the string as **raw** string like: `r"string with escaping\"" Adding to requirements Please pin this library only on the major version! We use TDD and strict semantic versioning, there will be frequent updates and no breaking changes in minor and patch versions. To ensure that you only pin the major version of this library in your `requirements.txt`, specify the package name followed by the major version and a wildcard for minor and patch versions. For example: json_repair==0.* In this example, any version that starts with `0.` will be acceptable, allowing for updates on minor and patch versions. How it works This module will parse the JSON file following the BNF definition: ::= | ::= | | ; Where: ; is a valid real number expressed in one of a number of given formats ; is a string of valid characters enclosed in quotes ; is one of the literal strings 'true', 'false', or 'null' (unquoted) ::=