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apache/superset

Apache Superset is a Data Visualization and Data Exploration Platform

Python ◇ analytics Apache-2.0

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★74.9KSTARS

⑂18.4KFORKS

!617ISSUES

🏆#134GLOBAL RANK

🔥5DAYS TRENDING

🚀

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Star History

Continuous Observations

Interactive star growth chart for apache/superset

Momentum

+1.9K

STARS · LAST 30 DAYS

PER DAY

#39

MOST-STARRED Python

Window	7 days	30 days	90 days
Stars gained	+434	+1.9K	+5.6K
Per day	62	62	62
Forks gained	+92	+368	+919

superset gained 1.9K stars in the last 30 days, about 62 a day, and now has 74.9K. It is about 11 years old and has averaged roughly 6.8K stars a year. It ranks #39 among Python repositories and #134 across all languages on GitHubRepo.

Trending Record

superset has maintained a continuous presence across global trending indexes, peaking at #377. Below is the 30-day activity profile:

💡 Overview

superset is an open-source project written in Python: Apache Superset is a Data Visualization and Data Exploration Platform.

Engineered for speed, consistency, and developer ease, it solves common hurdles in analytics, apache, apache-superset. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

Optimized execution pipeline written in Python for predictable speed.

Zero-friction configuration with comprehensive sensible defaults out of the box.

Cross-platform runtime support across Linux, macOS, and Windows environments.

Strong typing and modular architecture designed for easy extension and maintainability.

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal

$ pip install superset

$ pip install superset # or: brew install superset

> pip install superset

⚙ System Requirements

Platforms

• macOS
• Linux
• Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

superset coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Modern Web Interfaces

Build dynamic, responsive user experiences with component-driven architecture.

Enterprise Design Systems

Standardize design tokens, accessible widgets, and themes across engineering teams.

Interactive Data Dashboards

Render real-time telemetry, user feeds, and analytics with sub-millisecond updates.

Cross-Platform Web Apps

Deploy performant single-page applications optimized for both mobile and desktop browsers.

🚀 Getting Started

Install superset using your package manager: `pip install superset`

Initialize your project workspace or configuration file for superset.

Import superset into your codebase or invoke it directly from your terminal.

Execute your test suite or run `superset --help` to verify successful setup.

👍 Strengths

Active community backing with 74,910 GitHub stars and verified adoption.

Permissive open-source distribution under the Apache-2.0 license.

Built in Python for high execution speed and developer familiarity.

Cross-platform compatibility across modern Linux, macOS, and Windows environments.

Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.

Ecosystem extensions may require manual configuration depending on environment constraints.

Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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The agent that grows with you

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

apache/superset is currently ranked #134 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

Rank	Repository	Language	Stars	Action
#129	grafana/grafana	TypeScript	★ 77K	Compare ↗
#130	unslothai/unsloth	Python	★ 76.9K	Compare ↗
#131	nestjs/nest	TypeScript	★ 76.7K	Compare ↗
#132	caddyserver/caddy	Go	★ 76.1K	Compare ↗
#133	hiyouga/LlamaFactory	Python	★ 75.1K	Compare ↗
#134	apache/superset This Project	Python	★ 74.9K
#135	Eugeny/tabby	TypeScript	★ 74.7K	Compare ↗
#136	headroomlabs-ai/headroom	Python	★ 73.9K	Compare ↗
#137	unionlabs/union	Rust	★ 73.8K	Compare ↗
#138	danielmiessler/SecLists	PHP	★ 73.8K	Compare ↗
#139	ruvnet/ruflo	TypeScript	★ 73.4K	Compare ↗

Frequently Asked Questions

What does superset do? +

Apache Superset is a Data Visualization and Data Exploration Platform

What language is superset written in? +

The primary language is Python. Topics include: analytics, apache, apache-superset, asf, bi.

Is superset actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 617 open issues being tracked.

How many stars does superset have? +

superset has 74,925 stars and 18,386 forks on GitHub.

How does superset rank among GitHub repositories? +

With 74,925 stars, apache/superset is ranked #134 globally across all repositories tracked on GitHubRepo and #39 among Python projects.

What license is superset distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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LinkedIn

Why superset is replacing paid subscriptions for engineering teams

Stop paying $50+/month for locked SaaS tools.

Over 74,925 developers have starred apache/superset, an impressive Python open-source project designed to Apache Superset is a Data Visualization and Data Exploration Platform.

Key Engineering Advantages:
• 100% Local-First: Complete data privacy with zero tracking or telemetry.
• Zero Subscription Costs: No paywalls, per-seat fees, or API markups.
• Complete Customization: Native open-source architecture you can fork, inspect, and deploy anywhere.
• Proven Adoption: 74,925 GitHub stars and 18,386 forks.

If you're looking to streamline your engineering workflows without ballooning software expenses, this is worth checking out.

👉 Full star velocity and architectural report: https://githubrepo.cloud/repo/apache/superset
⭐ GitHub Repository: https://github.com/apache/superset

#OpenSource #SoftwareEngineering #DeveloperTools #Tech #Programming #Python

🤖

Reddit (r/opensource, r/webdev, r/selfhosted)

Show r/opensource: superset – A free, self-hosted tool that lets you Apache Superset is a Data Visualization and Data Exploration Platform

Hey everyone,

I wanted to share an interesting open-source project called **superset** (https://github.com/apache/superset) that has been picking up heavy momentum lately (74,925 stars).

### What problem does it solve?
Many existing tools in this domain require expensive cloud plans or store your data on third-party servers. superset was built with a local-first philosophy, allowing developers to Apache Superset is a Data Visualization and Data Exploration Platform without recurring subscription costs or privacy compromises.

### Tech Stack & Details:
- **Language:** Python
- **License:** Apache-2.0
- **GitHub:** [apache/superset](https://github.com/apache/superset)
- **Live Star Momentum Tracker:** [https://githubrepo.cloud/repo/apache/superset](https://githubrepo.cloud/repo/apache/superset)

Has anyone here tested this in production or integrated it into existing pipelines? Would love to hear your experience and feedback!

🟧

Hacker News (Show HN)

Show HN: superset – Apache Superset is a Data Visualization and Data Exploration Platform

Hi HN,

superset is an open-source Python project designed to Apache Superset is a Data Visualization and Data Exploration Platform.

Rather than relying on closed cloud endpoints, it executes locally on your own machine, providing predictable latency, total privacy, and full control.

Repository: https://github.com/apache/superset
Documentation & Metrics: https://githubrepo.cloud/repo/apache/superset

Feedback and PRs are welcome.

✍️

Dev.to / Hashnode Tags: opensource, python, devtools, webdev

This GitHub repo replaces a $50 a month tool! Stop paying expensive software subscriptions. Meet superset (74,925 GitHub Stars)

---
title: This GitHub repo replaces a $50 a month tool! Stop paying expensive software subscriptions. Meet superset
published: true
tags: opensource, python, devtools, programming
---

## Stop Paying Software Subscriptions For This

Finding high-quality, production-ready open source alternatives to expensive proprietary software can save engineering teams thousands of dollars every year.

Today, we're looking at **[apache/superset](https://github.com/apache/superset)**, a rapidly rising repository with **74,925 GitHub stars** and **18,386 forks**.

### What is superset?

> Apache Superset is a Data Visualization and Data Exploration Platform

Written in **Python**, superset runs directly on your local workstation or private server, keeping your data secure and eliminating recurring license fees.

### Key Highlights
- **High Performance:** Lightweight, reliable, and built in Python.
- **Privacy & Security:** Complete ownership of your environment and data.
- **Growing Momentum:** Ranked **#134** globally across tracked repositories on [GitHubRepo](https://githubrepo.cloud/repo/apache/superset).

### Quick Start
To get started locally:

```bash
git clone https://github.com/apache/superset.git
cd superset
```

Check out the full repository and star history analytics here:
- **GitHub:** [apache/superset](https://github.com/apache/superset)
- **Star Velocity Tracker:** [superset on GitHubRepo.cloud](https://githubrepo.cloud/repo/apache/superset)

𝕏

X / Twitter Communities

Thread / Community Post for superset

Developers are sleeping on this GitHub repo 👇

apache/superset (74,925 ⭐) replaces expensive monthly software subscriptions with 100% free open source code.

⚡ What it does: Apache Superset is a Data Visualization and Data Exploration Platform
💻 Built with: Python
🔒 100% local execution & privacy

Check live star velocity and benchmarks:
https://githubrepo.cloud/repo/apache/superset

#opensource #developer #coding #tech #programming

🧵

Threads Topics

Topic Discussion: Open Source & Developer Tools

This GitHub repo replaces a $50/month tool! 🚀

If you want to save hours of manual work and stop paying subscriptions, check out apache/superset.

It already has over 74,925 stars and lets you Apache Superset is a Data Visualization and Data Exploration Platform.

Drop a comment if you've tried it, or check the full star momentum report:
https://githubrepo.cloud/repo/apache/superset

From our network

apache/superset

Star History

Momentum

Trending Record

💡 Overview

⚡ Key Features

📥 Installation

⚙ System Requirements

Platforms

Runtime & Dependencies

Architecture

🧠 How It Works

🎯 Production Use Cases

Modern Web Interfaces

Enterprise Design Systems

Interactive Data Dashboards

Cross-Platform Web Apps

🚀 Getting Started

👍 Strengths

⚠️ Considerations

⇄ Alternatives & Direct Competitors

👥 Who Should Use This

🏆 Nearby in the Rankings

Frequently Asked Questions

Claim this repository

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