Alternatives and similar repositories for mercury

Users that are interested in mercury are comparing it to the libraries listed below

• ploomber / ploomber
  The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
  ☆3,605Updated 4 months ago
• mito-ds / mito
  Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet
  ☆2,562Updated this week
• datapane / datapane
  Build and share data reports in 100% Python
  ☆1,402Updated last year
• vizzuhq / ipyvizzu
  Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
  ☆970Updated 7 months ago
• jupyterlite / jupyterlite
  Wasm powered Jupyter running in the browser 💡
  ☆4,576Updated this week
• holoviz / panel
  Panel: The powerful data exploration & web app framework for Python
  ☆5,428Updated this week
• voila-dashboards / voila
  Voilà turns Jupyter notebooks into standalone web applications
  ☆5,816Updated 3 weeks ago
• approximatelabs / sketch
  AI code-writing assistant that understands data content
  ☆2,290Updated last year
• lux-org / lux
  Automatically visualize your pandas dataframe via a single print! 📊 💡
  ☆5,313Updated last year
• widgetti / solara
  A Pure Python, React-style Framework for Scaling Your Jupyter and Web Apps
  ☆2,100Updated this week
• AutoViML / AutoViz
  Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Gra…
  ☆1,845Updated last year
• oegedijk / explainerdashboard
  Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
  ☆2,449Updated last month
• sfu-db / dataprep
  Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
  ☆2,203Updated last year
• unionai-oss / pandera
  A light-weight, flexible, and expressive statistical data testing library
  ☆4,030Updated last week
• MAIF / shapash
  🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
  ☆2,953Updated 2 weeks ago
• man-group / dtale
  Visualizer for pandas data structures
  ☆4,985Updated 2 weeks ago
• Kanaries / pygwalker
  PyGWalker: Turn your dataframe into an interactive UI for visual analysis
  ☆15,224Updated 2 months ago
• man-group / notebooker
  Productionise & schedule your Jupyter Notebooks as easily as you wrote them.
  ☆884Updated last month
• whitphx / stlite
  In-browser Streamlit 🎈🚀
  ☆1,472Updated last week
• NannyML / nannyml
  nannyml: post-deployment data science in python
  ☆2,096Updated 2 months ago
• orchest / orchest
  Build data pipelines, the easy way 🛠️
  ☆4,139Updated 2 years ago
• posit-dev / great-tables
  Make awesome display tables using Python
  ☆2,471Updated last week
• ipyflow / ipyflow
  A reactive Python kernel for Jupyter notebooks.
  ☆1,245Updated last month
• fugue-project / fugue
  A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rew…
  ☆2,113Updated 6 months ago
• xiaohk / stickyland
  Break the linear presentation of Jupyter Notebooks with sticky cells!
  ☆569Updated last year
• shankarpandala / lazypredict
  Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuni…
  ☆3,232Updated last week
• adamerose / PandasGUI
  A GUI for Pandas DataFrames
  ☆3,248Updated 4 months ago
• AnswerDotAI / nbdev
  Create delightful software with Jupyter Notebooks
  ☆5,189Updated 2 months ago
• jupyterlab / jupyter-ai
  A generative AI extension for JupyterLab
  ☆3,820Updated 2 weeks ago
• predict-idlab / plotly-resampler
  Visualize large time series data with plotly.py
  ☆1,157Updated 3 weeks ago