mosaico-labs/mosaico
Mosaico - The data platform for Physical AI
⚡ Executive Summary & Quick Facts
Authoritative Sourcemosaico is mosaico is an open-source project written in Python: Mosaico - The data platform for Physical AI..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), mosaico-labs/mosaico has accumulated 1,128 GitHub stars and 78 forks. It is written in Python, licensed under Apache-2.0, and ranks #8,039 globally. It is actively maintained with the latest commit recorded on Nov 12, 2026.”
| Repository | mosaico-labs/mosaico ↗ |
|---|---|
| Primary Category | data platform |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 1.1K stars · ⑂ 78 forks · #8,039 globally |
| Maintenance | ● Active (Last commit: Nov 12, 2026) · 70 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 97/100 · Grade A+Yes, mosaico is actively maintained. Continuous telemetry recorded the last code commit on Nov 12, 2026 (0 days ago). Supported by 1,128 stars and 78 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
Add Live Star History & Verified Badges to README.md
Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.
Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.
[](https://githubrepo.cloud/repo/mosaico-labs/mosaico?utm_source=readme_chart)
Compact badges for your README header. Real-time stars, velocity, health audit, and rank.
[](https://githubrepo.cloud/repo/mosaico-labs/mosaico?utm_source=readme_badge) [](https://githubrepo.cloud/repo/mosaico-labs/mosaico?utm_source=readme_badge) [](https://githubrepo.cloud/repo/mosaico-labs/mosaico?utm_source=readme_badge) [](https://githubrepo.cloud/repo/mosaico-labs/mosaico?utm_source=readme_badge) [](https://githubrepo.cloud/repo/mosaico-labs/mosaico?utm_source=readme_badge)
Momentum
+28
STARS · LAST 30 DAYS
1
PER DAY
#1,171
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +47 | +28 | +90 |
| Per day | 7 | 1 | 1 |
| Forks gained | +10 | +3 | +10 |
mosaico gained 28 stars in the last 30 days, about 1 a day, and now has 1.1K. It is about 1 year old and has averaged roughly 1.1K stars a year. It ranks #1,171 among Python repositories and #8,039 across all languages on GitHubRepo.
Trending Record
19
DAYS ON TRENDING
#2128
BEST RANK
Oct 20, 2026
FIRST APPEARANCE
Active
STATUS TODAY
mosaico has maintained a continuous presence across global trending indexes, peaking at #2128. Below is the 30-day activity profile:
💡 Overview
mosaico is an open-source project written in Python: Mosaico - The data platform for Physical AI.
Engineered for speed, consistency, and developer ease, it solves common hurdles in data-platform, physical-ai, robotics. 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
$ pip install mosaico
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
mosaico 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
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with mosaico.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install mosaico using your package manager: `pip install mosaico`
Initialize your project workspace or configuration file for mosaico.
Import mosaico into your codebase or invoke it directly from your terminal.
Execute your test suite or run `mosaico --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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
mosaico-labs/mosaico is currently ranked #8,039 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #8,033 | kerberos-io/agent | Go | ★ 1.1K | Compare ↗ |
| #8,033 | projectdiscovery/wappalyzergo | Go | ★ 1.1K | Compare ↗ |
| #8,033 | fiso64/sockseek | C# | ★ 1.1K | Compare ↗ |
| #8,037 | vrapper/vrapper | Java | ★ 1.1K | Compare ↗ |
| #8,037 | erha19/ping-island | Swift | ★ 1.1K | Compare ↗ |
| #8,039 | mosaico-labs/mosaico This Project | Python | ★ 1.1K | |
| #8,039 | feincms/feincms | Python | ★ 1.1K | Compare ↗ |
| #8,039 | ergebnis/composer-normalize | PHP | ★ 1.1K | Compare ↗ |
| #8,039 | lukaspieper/Gcam-Services-Provider | Kotlin | ★ 1.1K | Compare ↗ |
| #8,039 | eolix/photosuite | Rust | ★ 1.1K | Compare ↗ |
| #8,039 | To3akaRin/mac-computer-use | JavaScript | ★ 1.1K | Compare ↗ |
Frequently Asked Questions
What does mosaico do? +
Mosaico - The data platform for Physical AI
Is mosaico actively maintained in 2026? +
Yes, mosaico is actively maintained. The latest code push was recorded on Nov 12, 2026 (0 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 1,128 stars and 70 open issues.
What language is mosaico written in? +
The primary language is Python. Topics include: data-platform, physical-ai, robotics.
How many stars does mosaico have? +
mosaico has 1,128 stars and 78 forks on GitHub.
How does mosaico rank among GitHub repositories? +
With 1,128 stars, mosaico-labs/mosaico is ranked #8,039 globally across all repositories tracked on GitHubRepo and #1,171 among Python projects.
What license is mosaico distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.