#1
Streamlit โ A faster way to build and share data apps.
45K starsJun 12, 2026 pushdata-analysisPythonData Analysis
$ npx skills add streamlit/streamlitAlternatives
Data Juicer alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Data Juicer
Data processing for and with foundation models! ๐ ๐ ๐ฝ โก๏ธ โก๏ธ๐ธ ๐น ๐ท
100
Quality
100
Trust
6.5K
Stars
#2
Build and share delightful machine learning apps, all in Python. ๐ Star to support our work!
43K starsJun 12, 2026 pushdata-analysisPythonData Analysis
$ npx skills add gradio-app/gradio#3
๐ธ๏ธ Web apps in pure Python ๐
28K starsJun 12, 2026 pushdata-analysisPythonData Analysis
$ npx skills add reflex-dev/reflex#4
Open-source data movement for ELT pipelines and AI agents โ from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.
21K starsJun 13, 2026 pushdata-analysisPythonData Analysis
$ npx skills add airbytehq/airbyte#5
AKShare is an elegant and simple financial data interface library for Python, built for human beings! ๅผๆบ่ดข็ปๆฐๆฎๆฅๅฃๅบ
20K starsMay 27, 2026 pushdata-analysisPythonData Analysis
$ npx skills add akfamily/akshare#6
WebApps in pure Python. No JavaScript, HTML and CSS needed
3.4K starsJun 3, 2026 pushdata-analysisPythonData Analysis
$ npx skills add rio-labs/rio#7
A 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
2.0K starsJun 9, 2026 pushdata-analysisPythonData Analysis
$ npx skills add WenjieDu/PyPOTS#8
The easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone work with data :bar_chart:
48K starsJun 12, 2026 pushdata-analysisClojureData Analysis
$ npx skills add metabase/metabase#9
10 Weeks, 20 Lessons, Data Science for All!
36K starsJun 10, 2026 pushdata-analysisJupyter NotebookData Analysis
$ npx skills add microsoft/Data-Science-For-Beginners#10
๐ A ranked list of awesome machine learning Python libraries. Updated weekly.
24K starsJun 11, 2026 pushdata-analysisData AnalysisClaude Code
$ npx skills add lukasmasuch/best-of-ml-python#11
scikit-learn: machine learning in Python
66K starsJun 11, 2026 pushdata-analysisPythonData Analysis
$ npx skills add scikit-learn/scikit-learn#12
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
49K starsJun 11, 2026 pushdata-analysisPythonData Analysis
$ npx skills add pandas-dev/pandas#13
Deepnote 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/
2.9K starsJun 12, 2026 pushdata-analysisTypeScriptData Visualization
$ npx skills add deepnote/deepnote#14
Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet
2.6K starsJun 11, 2026 pushdata-analysisJupyter NotebookData Visualization
$ npx skills add mito-ds/mito#15
Visualizer for pandas data structures
5.2K starsMay 29, 2026 pushdata-analysisTypeScriptData Analysis
$ npx skills add man-group/dtale#16
Curated list of Python resources for data science.
4.6K starsJun 5, 2026 pushdata-analysisData AnalysisClaude Code
$ npx skills add r0f1/datascienceHow to choose
When should you switch?
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 Data Juicer if it already passes your workflow test and repository review.
Next step
Compare top candidates side by side
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.