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Top 23 Python Data Science Projects
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The unchallenged leader in AI development is still Python. and Keras, and robust community support.
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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7. Scikit-learn - Machine Learning
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Pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Libraries for data science and deep learning that are always changing
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Apache Airflow
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The only thing left to do then was to build something that could showcase the power of code ingestion within a vector database, and it immediately clicked in my mind: "Why don't I ingest my entire codebase of solved Go exercises from Exercism?" That's how I created Code-RAGent, your friendly coding assistant based on your personal codebases and grounded in web search. It is built on top of GPT-4.1, powered by OpenAI, LinkUp, LlamaIndex, Qdrant, FastAPI and Streamlit. The building of this project was aimed at providing a reproducible and adaptable agent, that people can therefore customize based on their needs, and it was composed of three phases:
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Project mention: How To Run OpenAI Agents SDK Locally With 100+ LLMs and Custom Tracing | dev.to | 2025-05-07
Streamlit and Gradio: Interact with OpenAI agents via an AI chat UI.
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Ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
I'm guessing this comment is some kind of "if you know, you know." Likely starting from https://docs.ray.io/en/latest/cluster/vms/user-guides/launch... and then trawling through one of these I guess https://github.com/ray-project/ray/issues?q=is%3Aissue+prem+...
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
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data-science-ipython-notebooks
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.
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d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
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ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Project mention: Learn Machine Learning with these GitHub repositories | news.ycombinator.com | 2025-01-153⃣ [ML From Scratch](https://github.com/eriklindernoren/ML-From-Scratch) by Erik Linder-Noren
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Project mention: How to Get Started with Scikit-Learn: A Beginner-Friendly Guide to Machine Learning in Python | dev.to | 2025-04-24
As is the case with most Python libraries, it is open-source and free-to-use, making it easily accessible by anyone willing to learn machine learning, and it is built upon other open-source libraries within Python, like SciPy for advanced scientific operations, NumPy for efficient numerical computations, Matplotlib for data visualization, and Cython for increased efficiency and speed, similar to that of C/C++.
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pandas-ai
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
View the Project on GitHub
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Project mention: A ranked list of machine learning Python libraries. Updated weekly | news.ycombinator.com | 2025-01-31
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Project mention: Show HN: Flow – A Dynamic Task Engine for AI Agents Without DAG | news.ycombinator.com | 2024-12-02
- https://github.com/PrefectHQ/prefect
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ipython
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Project mention: REPL for Dart: supporting 3rd party packages, hot reload, and full grammar | news.ycombinator.com | 2024-09-28 -
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Project mention: Ask HN: What is the simplest data orchestration tool you've worked with? | news.ycombinator.com | 2025-03-21
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marimo
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. All in a modern, AI-native editor.
there is https://marimo.io/ that does all this and more
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NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Python Data Science discussion
Python Data Science related posts
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Show HN: Juvio – UV Kernel for Jupyter
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spaCy - NLP in Python
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TabPFN: Foundation Model for Tabular Data
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PandaAI: Talk to Your Data, Not to Your Code!
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A Survey of AI Agent Protocols
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Top Programming Languages for AI Development in 2025
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How I Hacked Uber’s Hidden API to Download 4379 Rides
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A note from our sponsor - SaaSHub
www.saashub.com | 22 May 2025
Index
What are some of the best open-source Data Science projects in Python? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | Keras | 62,989 |
| 2 | scikit-learn | 62,056 |
| 3 | Pandas | 45,442 |
| 4 | Airflow | 40,060 |
| 5 | streamlit | 39,392 |
| 6 | gradio | 38,168 |
| 7 | Ray | 37,068 |
| 8 | spaCy | 31,576 |
| 9 | pytorch-lightning | 29,505 |
| 10 | data-science-ipython-notebooks | 27,993 |
| 11 | d2l-en | 25,832 |
| 12 | ML-From-Scratch | 24,416 |
| 13 | dash | 22,452 |
| 14 | matplotlib | 21,220 |
| 15 | recommenders | 20,214 |
| 16 | pandas-ai | 20,204 |
| 17 | best-of-ml-python | 20,054 |
| 18 | Prefect | 19,300 |
| 19 | ipython | 16,474 |
| 20 | gensim | 16,027 |
| 21 | dvc | 14,478 |
| 22 | marimo | 13,264 |
| 23 | dagster | 13,154 |
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