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apache/texera

Human-AI Collaborative Data Science Using Visual Workflows

Scala ◇ ai-agents Apache-2.0
★333STARS
⑂202FORKS
!633ISSUES
🏆#15,105GLOBAL RANK
🔥4DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

texera is texera is an open-source project written in Scala: Human-AI Collaborative Data Science Using Visual Workflows..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), apache/texera has accumulated 333 GitHub stars and 202 forks. It is written in Scala, licensed under Apache-2.0, and ranks #15,105 globally. It is actively maintained with the latest commit recorded on Nov 9, 2026.”
Repository apache/texera ↗
Primary Category ai agents
Language & Stack Scala
Software License Apache-2.0
Community Traction ★ 333 stars · ⑂ 202 forks · #15,105 globally
Maintenance ● Active (Last commit: Nov 9, 2026) · 633 open issues
Target Audience Developers and engineering teams building with Scala, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 92/100 · Grade A
✅
Is texera actively maintained in 2026?
Verdict: Actively Maintained

Yes, texera is actively maintained. Continuous telemetry recorded the last code commit on Nov 9, 2026 (4 days ago). Supported by 333 stars and 202 community forks, this repository holds a calculated health index of 92/100, reflecting very active (commits within last 14 days) and active community feedback (633 open).

Commit Recency
Nov 9, 2026
4 days since last push
Issue Backlog
633 Open Issues
Active Community Feedback (633 open)
Community Backing
202 Forks
333 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for apache/texera
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#21

MOST-STARRED Scala

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+4+10

texera gained 10 stars in the last 30 days, about 1 a day, and now has 333. It is about 11 years old and has averaged roughly 30 stars a year. It ranks #21 among Scala repositories and #15,105 across all languages on GitHubRepo.

Trending Record

texera has maintained a continuous presence across global trending indexes, peaking at #16038. Below is the 30-day activity profile:

💡 Overview

texera is an open-source project written in Scala: Human-AI Collaborative Data Science Using Visual Workflows.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-agents, artificial-intelligence, cloud-native. 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 Scala 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
$ git clone https://github.com/apache/texera.git
cd texera

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Scala environment and standard tooling

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

texera coordinates its core functionality through a modular Scala 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 texera.

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

1

Install texera using your package manager: `git clone https://github.com/apache/texera.git`

2

Initialize your project workspace or configuration file for texera.

3

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

4

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

👍 Strengths

Active community backing with 333 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Scala 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 Scala 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 Scala, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

apache/texera is currently ranked #15,105 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#15,083 aalsanie/shamash Kotlin ★ 334 Compare ↗
#15,083 pwilkin/trellis.cpp C++ ★ 334 Compare ↗
#15,083 mvanhorn/agent-tincan Go ★ 334 Compare ↗
#15,083 imikerussell/beebots TypeScript ★ 334 Compare ↗
#15,083 ravencaio/tlou-remastered-pc C++ ★ 334 Compare ↗
#15,105 apache/texera This Project Scala ★ 333
#15,105 alexgutteridge/rsruby Ruby ★ 333 Compare ↗
#15,105 william-os4y/fapws3 Python ★ 333 Compare ↗
#15,105 veltzer/book-openbook Python ★ 333 Compare ↗
#15,105 Ocramius/DoctrineBatchUtils PHP ★ 333 Compare ↗
#15,105 spatie/laravel-robots-middleware PHP ★ 333 Compare ↗
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Frequently Asked Questions

What does texera do? +

Human-AI Collaborative Data Science Using Visual Workflows

Is texera actively maintained in 2026? +

Yes, texera is actively maintained. The latest code push was recorded on Nov 9, 2026 (4 days ago). It holds a calculated Maintenance Health Score of 92/100 (A rating) with 333 stars and 633 open issues.

What language is texera written in? +

The primary language is Scala. Topics include: ai-agents, artificial-intelligence, cloud-native, data-science, human-ai-collaboration.

How many stars does texera have? +

texera has 333 stars and 202 forks on GitHub.

How does texera rank among GitHub repositories? +

With 333 stars, apache/texera is ranked #15,105 globally across all repositories tracked on GitHubRepo and #21 among Scala projects.

What license is texera distributed under? +

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

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