Streamlit β A faster way to build and share data apps.
$ npx skills add streamlit/streamlitAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
π A ranked list of awesome machine learning Python libraries. Updated weekly.
Streamlit β A faster way to build and share data apps.
$ npx skills add streamlit/streamlitBuild and share delightful machine learning apps, all in Python. π Star to support our work!
$ npx skills add gradio-app/gradio10 Weeks, 20 Lessons, Data Science for All!
$ npx skills add microsoft/Data-Science-For-BeginnersπΈοΈ Web apps in pure Python π
$ npx skills add reflex-dev/reflex1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
$ npx skills add Data-Centric-AI-Community/fg-data-profilingOpen Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..
$ npx skills add lance-format/lanceData processing for and with foundation models! π π π½ β‘οΈ β‘οΈπΈ πΉ π·
$ npx skills add datajuicer/data-juicerVisualizer for pandas data structures
$ npx skills add man-group/dtaleMatplot++: A C++ Graphics Library for Data Visualization ππΎ
$ npx skills add alandefreitas/matplotplusplusCurated list of Python resources for data science.
$ npx skills add r0f1/datascienceWebApps in pure Python. No JavaScript, HTML and CSS needed
$ npx skills add rio-labs/rioDeepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/
$ npx skills add deepnote/deepnoteJupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet
$ npx skills add mito-ds/mitoA Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values
$ npx skills add WenjieDu/PyPOTSscikit-learn: machine learning in Python
$ npx skills add scikit-learn/scikit-learnFlexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
$ npx skills add pandas-dev/pandasHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Best Of Ml Python if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.