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experientiallabs
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experientiallabs/experiential

Experiential is the open source, zero markup gateway for BYOK, self-hosted and 1000+ marketplace models. It learns from your traffic to cut costs, recommend better models, and train a specialized model you own.

Python ◇ developer-tools Apache-2.0
★16.6KSTARS
⑂300FORKS
!162ISSUES
🏆#1,017GLOBAL RANK
🔥44DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

experiential is experiential is an open-source project written in Python: Experiential is the open source, zero markup gateway for BYOK, self-hosted and 1000+ marketplace models. It learns from your traffic to cut costs, recommend better models, and train a specialized model you own..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), experientiallabs/experiential has accumulated 16,579 GitHub stars and 300 forks. It is written in Python, licensed under Apache-2.0, and ranks #1,017 globally. It is actively maintained with the latest commit recorded on Nov 12, 2026.”
Repository experientiallabs/experiential ↗
Primary Category developer tools
Language & Stack Python
Software License Apache-2.0
Community Traction ★ 16.6K stars · ⑂ 300 forks · #1,017 globally
Maintenance ● Active (Last commit: Nov 12, 2026) · 162 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: 100/100 · Grade A+
✅
Is experiential actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, experiential is actively maintained. Continuous telemetry recorded the last code commit on Nov 12, 2026 (1 days ago). Supported by 16,579 stars and 300 community forks, this repository holds a calculated health index of 100/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 12, 2026
1 days since last push
Issue Backlog
162 Open Issues
Healthy Issue Cadence
Community Backing
300 Forks
16.6K Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for experientiallabs/experiential
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Momentum

+7.2K

STARS · LAST 30 DAYS

239

PER DAY

#184

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7.2K+7.2K+21.5K
Per day1025239239
Forks gained+68+68+15

experiential gained 7.2K stars in the last 30 days, about 239 a day, and now has 16.6K. It is about 1 year old and has averaged roughly 16.6K stars a year. It ranks #184 among Python repositories and #1,017 across all languages on GitHubRepo.

Trending Record

experiential has maintained a continuous presence across global trending indexes, peaking at #11. Below is the 30-day activity profile:

💡 Overview

experiential is an open-source project written in Python: Experiential is the open source, zero markup gateway for BYOK, self-hosted and 1000+ marketplace models. It learns from your traffic to cut costs, recommend better models, and train a specialized model you own.

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

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

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

3

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

4

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

5

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

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install experiential

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

experiential 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

Production System Integration

Embed experiential into Python backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open source license.

🚀 Getting Started

1

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

2

Initialize your project workspace or configuration file for experiential.

3

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

4

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

👍 Strengths

Active community backing with 9,404 GitHub stars and verified adoption.
Permissive open-source distribution under the Open Source 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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👥 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

experientiallabs/experiential is currently ranked #1,017 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#1,012 googleapis/mcp-toolbox Go ★ 16.7K Compare ↗
#1,013 dagger/dagger Go ★ 16.6K Compare ↗
#1,014 Lakr233/vphone-cli Swift ★ 16.6K Compare ↗
#1,015 jashkenas/coffeescript CoffeeScript ★ 16.6K Compare ↗
#1,016 briannesbitt/Carbon PHP ★ 16.6K Compare ↗
#1,017 experientiallabs/experiential This Project Python ★ 16.6K
#1,018 FreshRSS/FreshRSS PHP ★ 16.6K Compare ↗
#1,018 triggerdotdev/trigger.dev TypeScript ★ 16.6K Compare ↗
#1,020 OpenRCT2/OpenRCT2 C++ ★ 16.5K Compare ↗
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Frequently Asked Questions

What does experiential do? +

Experiential is the open source, zero markup gateway for BYOK, self-hosted and 1000+ marketplace models. It learns from your traffic to cut costs, recommend better models, and train a specialized model you own.

Is experiential actively maintained in 2026? +

Yes, experiential is actively maintained. The latest code push was recorded on Nov 12, 2026 (1 days ago). It holds a calculated Maintenance Health Score of 100/100 (A+ rating) with 16,579 stars and 162 open issues.

What language is experiential written in? +

The primary language is Python. Topics include: software.

How many stars does experiential have? +

experiential has 16,579 stars and 300 forks on GitHub.

How does experiential rank among GitHub repositories? +

With 16,579 stars, experientiallabs/experiential is ranked #1,017 globally across all repositories tracked on GitHubRepo and #184 among Python projects.

What license is experiential distributed under? +

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

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