frictionlessdata / datapackage-pyLinks
A Python library for working with Data Packages.
☆191Updated last year
Alternatives and similar repositories for datapackage-py
Users that are interested in datapackage-py are comparing it to the libraries listed below
Sorting:
- A Python library for working with Table Schema.☆264Updated 11 months ago
- Framework for processing data packages in pipelines of modular components.☆121Updated 4 months ago
- Generate Pandas frames, load and extract data, based on JSON Table Schema descriptors.☆52Updated 4 years ago
- Python library for reading and writing tabular data via streams.☆238Updated 4 years ago
- DataFlows is a simple, intuitive lightweight framework for building data processing flows in python.☆217Updated 6 months ago
- A selection of statistical graphics for vega in python, based on altair.☆102Updated 2 years ago
- Data Package reader for Pandas☆19Updated 2 years ago
- Interactive data exploration with Altair☆109Updated 5 years ago
- Evaluation of Vega-Lite transforms in Python☆71Updated 5 years ago
- Data validation as a service. Project retired, got to the current one at frictionsless/repository☆69Updated 2 years ago
- Python interface to SDMX☆131Updated last year
- Generate SQL tables, load and extract data, based on JSON Table Schema descriptors.☆62Updated 2 years ago
- Tools for parsing messy tabular data. This is now superseded by https://github.com/frictionlessdata/tabulator-py☆390Updated 2 years ago
- An analysis of all 1.3 million public Jupyter Notebooks on Github in July 2017☆72Updated 7 years ago
- Tools for generating CSV and other flat versions of the structured data☆109Updated 6 months ago
- Altair extension for saving charts in a variety of formats.☆97Updated last year
- Plugin for pytest to run IPython notebook cells as unit tests☆99Updated 6 years ago
- Python package for data.world☆101Updated last year
- A Jupyter Lab extension for rendering tabular data☆35Updated 7 years ago
- A JupyterLab extension for Vega and Vega-Lite☆29Updated 7 years ago
- Supporting infrastructure to run scientific experiments without a scientific workflow management system.☆121Updated last month
- Pandas-based utility to calculate weighted means, medians, distributions, standard deviations, and more.☆112Updated last year
- Starborn: Seaborn-compatible data visualization for Python based on Altair☆51Updated 7 years ago
- Linked data exploration in JupyterLab.☆28Updated 2 years ago
- Material design template for Voilà☆47Updated 2 months ago
- next generation slides for Jupyter Notebooks☆167Updated last year
- Generate ipywidgets from Parameterized objects in the notebook☆35Updated 5 years ago
- Configuration for deploying the Voilà Gallery with The Littlest JupyterHub☆85Updated 5 years ago
- @vega transforms with @ibis-project expressions☆29Updated 4 years ago
- Interactive plotting for Pandas using Vega-Lite☆344Updated 6 years ago