dimagi-superset

v3.1.0.post1

A 'Dimagi' fork of apache-superset, a modern, enterprise-ready business intelligence web application For more information about how to use this package see README

Latest version published 2 months ago

License: Apache-2.0

PyPI

GitHub

Package Health Score

73 / 100

security
No known security issues
popularity
Limited
maintenance
Healthy
community
Active

Popularity

Limited

GitHub Stars: 0
Forks: 0
Contributors: 430

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package dimagi-superset, we found that it has been starred ? times.

Security

No known security issues

Security and license risk for latest version

Release Date: Oct 8, 2024
Direct Vulnerabilities: 0
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0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

Yes

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Maintenance

Healthy

Commit Frequency

No Recent Commits

Open Issues: 0
Open PR: 1
Last Release: 2 months ago
Last Commit: 10 months ago

Further analysis of the maintenance status of dimagi-superset based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that dimagi-superset demonstrates a positive version release cadence with at least one new version released in the past 3 months.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 430
Funding: No

A good and healthy external contribution signal for dimagi-superset project, which invites more than one hundred open source maintainers to collaborate on the repository.

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Package

Python Versions Compatibility: ~=3.9

Age: 2 years
Latest Release: 2 months ago
Dependencies: N/A
Versions: 5
Maintainers: 1
Wheels: No

Readme

Superset

A modern, enterprise-ready business intelligence web application.

Why Superset?

Superset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intelligence tools for many teams. Superset integrates well with a variety of data sources.

Superset provides:

A no-code interface for building charts quickly
A powerful, web-based SQL Editor for advanced querying
A lightweight semantic layer for quickly defining custom dimensions and metrics
Out of the box support for nearly any SQL database or data engine
A wide array of beautiful visualizations to showcase your data, ranging from simple bar charts to geospatial visualizations
Lightweight, configurable caching layer to help ease database load
Highly extensible security roles and authentication options
An API for programmatic customization
A cloud-native architecture designed from the ground up for scale

Screenshots & Gifs

Video Overview

https://user-images.githubusercontent.com/64562059/234390129-321d4f35-cb4b-45e8-89d9-20ae292f34fc.mp4

Large Gallery of Visualizations

Craft Beautiful, Dynamic Dashboards

No-Code Chart Builder

Powerful SQL Editor

Supported Databases

Superset can query data from any SQL-speaking datastore or data engine (Presto, Trino, Athena, and more) that has a Python DB-API driver and a SQLAlchemy dialect.

Here are some of the major database solutions that are supported:

redshift google-biquery snowflake trino presto databricks druid firebolt timescale rockset postgresql mysql mssql-server db2 sqlite sybase mariadb vertica oracle firebird greenplum clickhouse exasol monet-db apache-kylin hologres netezza pinot teradata yugabyte databend starrocks doris

A more comprehensive list of supported databases along with the configuration instructions can be found here.

Want to add support for your datastore or data engine? Read more here about the technical requirements.

Installation and Configuration

Extended documentation for Superset

Get Involved

Ask and answer questions on StackOverflow using the apache-superset tag
Join our community's Slack and please read our Slack Community Guidelines
Join our dev@superset.apache.org Mailing list. To join, simply send an email to dev-subscribe@superset.apache.org
If you want to help troubleshoot GitHub Issues involving the numerous database drivers that Superset supports, please consider adding your name and the databases you have access to on the Superset Database Familiarity Rolodex
Join Superset's Town Hall and Operational Model recurring meetings. Meeting info is available on the Superset Community Calendar

Contributor Guide

Interested in contributing? Check out our CONTRIBUTING.md to find resources around contributing along with a detailed guide on how to set up a development environment.

Resources

Superset "In the Wild" - open a PR to add your org to the list!
Feature Flags - the status of Superset's Feature Flags.
Standard Roles - How RBAC permissions map to roles.
Superset Wiki - Tons of additional community resources: best practices, community content and other information.
Superset SIPs - The status of Superset's SIPs (Superset Improvement Proposals) for both consensus and implementation status.

Superset 2.0!

Understanding the Superset Points of View

FAQs

What is dimagi-superset?

A 'Dimagi' fork of apache-superset, a modern, enterprise-ready business intelligence web application. Visit Snyk Advisor to see a full health score report for dimagi-superset, including popularity, security, maintenance & community analysis.

Is dimagi-superset popular?

The python package dimagi-superset receives a total of 55 weekly downloads. As such, dimagi-superset popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is dimagi-superset well maintained?

We found that dimagi-superset demonstrated a healthy version release cadence and project activity. It has a community of 430 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is dimagi-superset safe to use?

The python package dimagi-superset was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 23 November-2024, at 00:58 (UTC).

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