csvbase

A simple website for sharing table data.

What it's about

1. Paste your CSV file
2. Get a table on the web you can share with people via url
3. They can export it into pandas/excel/spark/whatever

In short: making it really easy to share dataframes.

For example

A good demo is meripaterson/stock-exchanges, which is an up-to-date list of the world's stock exchanges.

If you wanted to load that dataset into pandas, for example, you would run:

>>> import pandas as pd
>>> # you just put in the same url as on the website, bit of magic here
>>> stock_exchanges = pd.read_csv("https://csvbase.com/meripaterson/stock-exchanges")
>>> stock_exchanges
     csvbase_row_id      Continent                    Country                                     Name   MIC Last changed
0                 1         Africa                    Lesotho                                    HYBSE   NaN   2019-03-25
1                 2           Asia                Kazakhstan     Astana International Financial Centre  AIXK   2018-11-18
2                 3         Africa              South Africa                                     ZAR X  ZARX   2018-11-18
3                 4  South America                 Argentina              Bolsas y Mercados Argentinos   NaN   2018-04-02
4                 5  North America  United States of America                   Delaware Board of Trade   NaN   2018-04-02
..              ...            ...                        ...                                      ...   ...          ...
246             247  North America  United States of America                  Long-Term Stock Exchange  LTSE   2020-09-14
247             248  North America  United States of America   Miami International Securities Exchange  MIHI   2020-09-24
248             249  North America  United States of America                         Members' Exchange   NaN   2020-09-24
249             250         Africa                  Zimbabwe             Victoria Falls Stock Exchange   NaN   2020-11-01
250             251           Asia                     China                    Beijing Stock Exchange   NaN   2021-12-27

[251 rows x 6 columns]

It's just as easy to:

1. Export to XLSX (MS Excel)
2. Export to R
3. Execute create/read/update/delete operations via a simple REST API
4. And get the CSV back as well, of course

A few more details

This repo has the full sourcecode for the website. There is no other repo with more stuff in it. Except the client code.

For tips on how to get started, see HACKING.md.

Csvbase is licensed under the AGPLv3 or later. You're free to reuse it as you like under that licence but please bear in mind the one-man-and-his-dog nature of this operation: I can't support you and there is NO warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.