Eventual-Inc/Daft
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
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+145
STARS · LAST 30 DAYS
5
PER DAY
#158
MOST-STARRED Rust
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +6 | +145 | +450 |
| Per day | 1 | 5 | 5 |
| Forks gained | +2 | +11 | +28 |
Daft gained 145 stars in the last 30 days, about 5 a day, and now has 5.8K. It is about 4 years old and has averaged roughly 1.4K stars a year. It ranks #158 among Rust repositories and #1,553 across all languages on GitHubRepo.
Trending Record
11
DAYS ON TRENDING
#699
BEST RANK
Sep 24, 2026
FIRST APPEARANCE
Active
STATUS TODAY
Daft has maintained a continuous presence across global trending indexes, peaking at #699. Below is the 30-day activity profile:
💡 Overview
Daft is an open-source project written in Rust: High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-engineering, ai-pipeline, arrow. 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 Rust 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
$ cargo install Daft⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Rust toolchain (rustc / cargo >= 1.70)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
Daft coordinates its core functionality through a modular Rust 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 Daft.
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 Daft using your package manager: `cargo install Daft`
Initialize your project workspace or configuration file for Daft.
Import Daft into your codebase or invoke it directly from your terminal.
Execute your test suite or run `Daft --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
Eventual-Inc/Daft is currently ranked #1,553 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #1,548 | Mak5er/AirCard | Swift | ★ 5.8K | Compare ↗ |
| #1,549 | asciimoo/hister | Go | ★ 5.8K | Compare ↗ |
| #1,550 | lemonade-sdk/lemonade | C++ | ★ 5.8K | Compare ↗ |
| #1,550 | ayn2op/discordo | Go | ★ 5.8K | Compare ↗ |
| #1,552 | srizzon/git-city | TypeScript | ★ 5.8K | Compare ↗ |
| #1,553 | Eventual-Inc/Daft This Project | Rust | ★ 5.8K | |
| #1,554 | dograh-hq/dograh | Python | ★ 5.8K | Compare ↗ |
| #1,555 | redis/lettuce | Java | ★ 5.8K | Compare ↗ |
| #1,556 | pytorch/torchtitan | Python | ★ 5.8K | Compare ↗ |
| #1,557 | MarkEdit-app/MarkEdit | Swift | ★ 5.8K | Compare ↗ |
| #1,558 | ChilliCream/graphql-platform | C# | ★ 5.8K | Compare ↗ |
Frequently Asked Questions
What does Daft do? +
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
What language is Daft written in? +
The primary language is Rust. Topics include: ai-engineering, ai-pipeline, arrow, artificial-intelligence, big-data.
Is Daft actively maintained? +
Yes, the last recorded push was on Sep 26, 2026 with 392 open issues being tracked.
How many stars does Daft have? +
Daft has 5,791 stars and 564 forks on GitHub.
How does Daft rank among GitHub repositories? +
With 5,791 stars, Eventual-Inc/Daft is ranked #1,553 globally across all repositories tracked on GitHubRepo and #158 among Rust projects.
What license is Daft distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
