| apache/superset |
56,358 |
|
0 |
21 |
about 2 years ago |
6 |
April 18, 2023 |
1,764 |
apache-2.0 |
TypeScript |
| Apache Superset is a Data Visualization and Data Exploration Platform |
| mariusandra/insights |
991 |
|
1 |
4 |
about 4 years ago |
71 |
February 23, 2020 |
66 |
mit |
JavaScript |
| Open Source Self-Hosted Business Intelligence Platform |
| arbox/data-science-with-ruby |
664 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
cc0-1.0 |
Ruby |
| Practical Data Science with Ruby based tools. |
| abixen/abixen-platform |
631 |
|
0 |
0 |
about 4 years ago |
0 |
|
84 |
lgpl-2.1 |
Java |
| Abixen Platform is a microservices based software platform for building enterprise applications delivering functionalities through creating particular microservices and integrating by provided CMS. |
| neuhausi/canvasXpress |
282 |
|
0 |
4 |
about 2 years ago |
43 |
November 08, 2023 |
7 |
|
R |
| CanvasXpress: A JavaScript Library for Data Analytics with Full Audit Trail Capabilities. |
| koolphp/koolreport |
199 |
|
2 |
2 |
almost 7 years ago |
25 |
February 15, 2019 |
23 |
mit |
PHP |
| This is an Open Source PHP Reporting Framework which you can use to write perfect data reports or to construct awesome dashboards using PHP |
| Kitware/candela |
96 |
|
8 |
3 |
over 6 years ago |
28 |
February 16, 2018 |
98 |
apache-2.0 |
JavaScript |
| Visualization components for the web |
| pattrn-project/pattrn |
61 |
|
0 |
0 |
almost 9 years ago |
0 |
|
37 |
agpl-3.0 |
JavaScript |
| Data-driven, participatory fact-mapping |
| ahmed-mohamed-sn/olliePy |
41 |
|
0 |
0 |
almost 5 years ago |
33 |
May 19, 2021 |
0 |
mit |
Python |
| OlliePy is a python package which can help data scientists in exploring their data and evaluating and analysing their machine learning experiments by utilising the power and structure of modern web applications. The data scientist only needs to provide the data and any required information and OlliePy will generate the rest. |
| LLNL/CallFlow |
26 |
|
0 |
0 |
over 3 years ago |
3 |
October 13, 2021 |
2 |
mit |
Vue |
| Visualization tool for analyzing call trees and graphs |
