Open Source Data Science Projects
Data science combines statistical methods, computing, and subject-matter knowledge to extract useful insights from data. It helps people organize and explore datasets, identify patterns, make predictions, and communicate findings. Work in this area can support decisions across research, business, public services, and many other fields, from initial data preparation through analysis and deployment.
41 repositories · updated October 4, 2026
benchmark-radar: Discover AI Benchmarks and Track Evaluation Scores
Benchmark Radar gathers AI benchmark records and evaluation evidence from public sources in a searchable catalog. Use it to discover benchmarks, inspect reported scores and citations, and follow new findings through its dashboard or offline CLI.
NewHealth 63/100
awesome-automated-ai: Find Tools for Automated AI and ML
A curated directory of tools spanning AutoML, LLM fine-tuning, prompt optimization, AI agents, evaluation, and MLOps. Use it to survey options by category and follow links to projects that fit your workflow.
ActiveHealth 53/100
best-skills: Compare Agent Skill Rankings Across Platforms
Best Skills publishes daily rankings of agent skills using install counts, growth, maintenance, publisher verification, and social activity across several ecosystems. Its CSV data helps developers compare skills without treating platform-specific counts as directly equivalent.
NewHealth 36/100
flint-chart: Create Polished Charts from Compact Specs
Flint turns semantic, human-editable chart specifications into polished visualizations for several charting backends. It is aimed at developers and AI-agent builders who want consistent chart creation without manually configuring every layout detail.
NewHealth 58/100
csvkit: Convert and Work with CSV Files
csvkit is a Python suite of command-line tools for converting to and working with CSV files. It is aimed at people who want to handle tabular data from the command line.
MaintainedHealth 48/100
mimesis: Generate Realistic Fake Data in Python
Mimesis generates realistic synthetic data across languages and locales for Python development and testing. Use it to create test records, API fixtures, sample datasets, or structured and relational data.
ActiveHealth 49/100
scikit-video: Process Video with Python
scikit-video is a Python library for video I/O and video-oriented analysis, including quality metrics and temporal processing. It suits researchers and developers who want Python-based tools to experiment with video algorithms alongside SciPy and scikit-image.
InactiveHealth 20/100
Awesome-pytorch-list: Find PyTorch Libraries, Tutorials, and Papers
A categorized directory of PyTorch libraries, learning materials, and paper implementations. Use it to discover resources across NLP, computer vision, probabilistic modeling, and other deep-learning topics.
MaintainedHealth 37/100
ds-cheatsheets: Find Data Science Reference Sheets
A curated collection of data science cheat sheets covering Python, R, statistics, machine learning, deep learning, big data, SQL, and visualization. Use it to quickly find practical PDF and image references across common tools and workflows.
InactiveHealth 30/100
awesome-R: Discover Curated R Packages and Tools
awesome-R is a categorized directory of R packages, tools, learning materials, and related resources. Use it to explore options across data analysis, visualization, machine learning, and R development.
InactiveHealth 36/100
ludwig: Configure and Train AI Models with YAML
Ludwig is a Python framework for configuring, training, evaluating, and deploying AI models through declarative YAML rather than custom training loops. It suits teams that want one workflow for LLM fine-tuning, tabular prediction, and multimodal modeling.
ActiveHealth 62/100
evidently: Evaluate and Monitor ML and LLM Systems
Evidently is a Python framework for evaluating, testing, and monitoring machine-learning and LLM systems, from data quality to generated text. Use it to build offline reports and regression checks or track metrics over time in a monitoring dashboard.
ActiveHealth 60/100