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https://github.com/pachevalier/datatools

awesome open source tools to work with data
https://github.com/pachevalier/datatools

List: datatools

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awesome open source tools to work with data

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# Awesome Data Tools



A simple list of awesome open source tools to deal with data



## Graphics and charts



* [DataWrapper](https://www.datawrapper.de/)

* [RAWgraphs](https://rawgraphs.io/)

  * Created by DensityDesign

* [Chartbuilder](http://quartz.github.io/Chartbuilder/)

  * Created by [Quartz](https://github.com/Quartz)

* [Fastcharts](https://fastcharts.io/)

  * Created by [FTGraphics](https://github.com/ft-interactive)  

* [Palladio](http://hdlab.stanford.edu/palladio/)

  * Map, graph, table and gallery

  * Can be connected to a SPARQL endpoint (eg Wikidata.org)

* [ObservableHQ](observablehq.com/) 

* [Voyager2](https://vega.github.io/voyager2/) : data explorer based on Vega

  

## Maps



* [uMap](https://umap.openstreetmap.fr/fr/)

* [Kepler.gl](https://kepler.gl/)

* [Magrit](http://magrit.cnrs.fr/)

  * static maps

* [MapShaper](https://mapshaper.org/)

* [mviewer](https://mviewer.netlify.app/fr/)

* [cocarto](https://cocarto.com/) nice app developed by Codeurs en liberté. It allows to collaboratively edit points, lines and shapes on a map.

* [khartis](https://www.sciencespo.fr/cartographie/khartis/) developed by Medialab Sciences Po.



## Dashboards



* [Metabase](https://github.com/metabase/metabase)

* [SuperSet](https://superset.apache.org/)



## Database/SQL client



* [Falcon](https://github.com/plotly/falcon)

* [Metabase](https://github.com/metabase/metabase)



## Analyse documents



* [Datashare](https://github.com/ICIJ/datashare)

* [Aleph](https://github.com/alephdata/aleph)

* [Ambar](https://ambar.cloud/)



## Extract tables from PDF



* [Tabula](https://tabula.technology/)

* [Excalibur](https://www.tryexcalibur.com/)



## Information extraction 



* [grobid](https://github.com/kermitt2/grobid) : information extraction for scholarly documents



## Browse CSV



* [dplyr-cli](https://github.com/coolbutuseless/dplyr-cli)

  * Type : command line

* [xsv](https://github.com/BurntSushi/xsv)

  * Type : command line

* [tabview](https://github.com/TabViewer/tabview)

  * Type : command line

* [Miller](https://github.com/johnkerl/miller)

 * Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON http://johnkerl.org/miller/doc

* [Visidata](https://www.visidata.org/)

* [modern csv](https://www.moderncsv.com/) 



## Browse JSON

 

* [fx](https://github.com/antonmedv/fx)

  * Type : command line

* [jq](https://stedolan.github.io/jq/)

  * Type : command line

  

## Conversion



* [Knead](https://github.com/hay/dataknead)

* [Flatterer](https://flatterer.opendata.coop/) converts json to tabular data



## Data wrangling 



* [OpenRefine](https://openrefine.org/)

* [TadViewer](https://www.tadviewer.com/)

* [OpenDataEditor](https://opendataeditor.okfn.org/) 



## Fuzzy matching



* [Crosswalker](https://crosswalker.washingtonpost.com/) 



## Workflows



* [Airflow](https://airflow.apache.org/)

* [Prefect](https://www.prefect.io/)



## API



* [csvapi](https://github.com/etalab/csvapi)

* [datasette](https://github.com/simonw/datasette)

* [fastapi-csv](https://github.com/jrieke/fastapi-csv)



## Annotation



* [Doccano](https://github.com/chakki-works/doccano/wiki)

* [WebAnno](https://webanno.github.io/webanno/)

* [BRAT](http://brat.nlplab.org/)

* [YEDDA](https://github.com/jiesutd/YEDDA)

* [PIAF](https://github.com/etalab/piaf)

* [Label Studio](https://labelstud.io/)

* [Tessele](https://medialab.github.io/tesselle/#/)



## Open data portals



* [csvbase](https://github.com/calpaterson/csvbase) : a very simple framework to share and preview csv files.

* [udata](https://github.com/opendatateam/udata)

* [metaclic](https://github.com/datakode/metaclic), front end interface for udata

* [jkan](https://github.com/timwis/jkan), static open data portal, made with Jekyll

* [ckan](https://ckan.org/)

* [datafair](https://github.com/data-fair/data-fair)



## HCR



* [kraken](https://github.com/mittagessen/kraken)



## References



* [Data science at the command line](https://www.datascienceatthecommandline.com/)

* [Awesome Production Machine Learning](https://github.com/EthicalML/awesome-production-machine-learning)

* [Awesome Data Labeling](https://github.com/heartexlabs/awesome-data-labeling)