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Computed at Sep 11, 2026GitHub repo leaderboard by stars, growth rate and activity.
Asabeneh
The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
Python73,416 starslast pushed 20 hours agopandas-dev
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Python49,714 starslast pushed 2 hours agotqdm
:zap: A Fast, Extensible Progress Bar for Python and CLI
Python31,330 starslast pushed 3 days agodonnemartin
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Python29,342 starslast pushed 2 years agosinaptik-ai
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
Python23,792 starslast pushed 11 months agohuggingface
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Python21,964 starslast pushed 13 hours agoNVIDIA
delta-io
A native Rust library for Delta Lake, with bindings into Python
Rust3,298 starslast pushed 1 hour agoreloadware
Hot Reloading and Profiling for Python
Python2,986 starslast pushed 2 years agoapache
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Jupyter Notebook2,588 starslast pushed 15 hours ago
| # | Repo | Language | Stars | 30-day trend | Last updated |
|---|---|---|---|---|---|
| 1 | Asabeneh The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw | Python | 73,416 | last pushed 20 hours ago | |
| 2 | pandas-dev Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more | Python | 49,714 | last pushed 2 hours ago | |
| 3 | tqdm :zap: A Fast, Extensible Progress Bar for Python and CLI | Python | 31,330 | last pushed 3 days ago | |
| 4 | donnemartin Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. | Python | 29,342 | last pushed 2 years ago | |
| 5 | sinaptik-ai Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG. | Python | 23,792 | last pushed 11 months ago | |
| 6 | huggingface 🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools | Python | 21,964 | last pushed 13 hours ago | |
| 7 | NVIDIA cuDF - GPU DataFrame Library | C++ | 9,749 | last pushed 52 minutes ago | |
| 8 | delta-io A native Rust library for Delta Lake, with bindings into Python | Rust | 3,298 | — | last pushed 1 hour ago |
| 9 | reloadware Hot Reloading and Profiling for Python | Python | 2,986 | last pushed 2 years ago | |
| 10 | apache Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does. | Jupyter Notebook | 2,588 | last pushed 15 hours ago |
All · 11,658