A curated list of the best, top, and most popular open-source data science tools available right now. Showing the top 30 of 41 data science tools in our directory, ranked by GitHub stars.
A comprehensive collection of algorithms and data structures implemented in JavaScript, complete with explanations and additional reading links.
State-of-the-art Machine Learning library for Pytorch, TensorFlow, and JAX, providing thousands of pre-trained models for natural language processing, computer vision, and other areas.
Robust Speech Recognition via Large-Scale Weak Supervision, capable of transcribing and translating spoken language.
Apache Superset is an open-source data visualization and data exploration platform, offering a wide range of visualization options and a user-friendly interface for interactive data exploration.
A curated list of awesome Machine Learning frameworks, libraries, and software, providing insights into various useful resources in the domain.
PaddleOCR is a powerful and lightweight open source OCR toolkit that enables conversion of images and PDF documents into structured data for AI applications. It supports over 100 languages, making it a versatile bridge between image/PDF content and large language models (LLMs) for a wide range of tasks.
Crawl4AI is an open-source and LLM-friendly web crawler and scraper that facilitates efficient data extraction from the web.
The Prometheus monitoring system and time series database for collecting and storing metrics as time series data.
Metabase is an easy-to-use open source Business Intelligence and Embedded Analytics tool that enables seamless interaction with data for everyone.
A high-performance, cloud-native vector database designed for scalable and efficient vector Approximate Nearest Neighbor (ANN) search.
ClickHouse® is a high-performance real-time analytics database management system designed for handling large volumes of data at incredible speed.
MindsDB is an AI's query engine, a platform for building AI models that can learn and answer questions over large-scale federated data.
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A collection of extracted system prompts from popular chatbots, including ChatGPT, Claude, and Gemini.
A minimalist deep learning framework designed to be simple and easy to understand, inspired by pytorch and micrograd.
The Cyber Swiss Army Knife - a powerful web app for encryption, encoding, compression, and data analysis.
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard, and share your data.
STORM is an LLM-powered knowledge curation system designed to research topics and generate comprehensive full-length reports with citations. Developed by Stanford's OVAL team, STORM leverages large language models to streamline information gathering and synthesis.
AI orchestration framework to build customizable, production-ready LLM applications. Connect components such as models, vector databases, and file converters to pipelines or agents that can interact with your data. Best suited for building Retrieval-Augmented Generation (RAG), question answering, semantic search, or conversational agent chatbots.
Graphiti helps to build real-time knowledge graphs tailored for AI agents, enhancing their decision-making and data processing capabilities.
Label Studio is a versatile data labeling and annotation tool supporting multiple data types with a standardized output format.
PandasAI allows you to interact with your data sources such as databases and datalakes using conversational language. It leverages Language Model Models (LLMs) and RAG to provide intuitive data analysis.
A curated and ranked collection of top machine learning libraries and tools for Python. Regularly updated to highlight the best open-source machine learning projects in the Python ecosystem.
Handsontable is a JavaScript data grid and data table offering a spreadsheet-like look and feel, fully compatible with React, Angular, and Vue. Developed and supported by the Handsontable team.
Open-source IoT Platform for comprehensive device management, data collection, processing, and visualization.
The leading data integration platform for ETL / ELT data pipelines from APIs, databases, and files to data warehouses, data lakes, and data lakehouses. Both self-hosted and Cloud-hosted.
Cube is a universal semantic layer platform for AI, BI, spreadsheets, and embedded analytics. It serves as an access layer for data analytics, providing real-time data access and integration across multiple sources.
Prefect is a powerful workflow orchestration framework for building, running, and monitoring resilient data pipelines in Python.
A collection of notebooks and recipes showcasing innovative and effective ways of using Claude for machine learning and AI experiments.
Unstructured is an open-source ETL solution that converts complex documents into structured data for language models, featuring enterprise-grade capabilities like workflow orchestration, document partitioning, enrichment, chunking, and embedding.
StarRocks is an open source, high-performance analytical database and query engine designed for sub-second analytics both on and off the data lakehouse. It excels in multi-dimensional analytics, real-time analytics, and complex ad-hoc queries, offering flexibility for a wide range of analytical scenarios as a Linux Foundation project.
JavaScript Algorithms is the most popular by GitHub stars right now. A comprehensive collection of algorithms and data structures implemented in JavaScript, complete with explanations and additional reading links.
Yes. Every tool on this list is open source and free to use in your own projects. Many can be self-hosted.
Tools are ranked by GitHub star count, a strong proxy for community adoption and active maintenance. Star counts are refreshed regularly.
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