⚡ Executive Summary & Quick Facts
Authoritative Sourcedatadog-saist is datadog-saist is an open-source project written in Go: AI-native SAST.. It provides a free, self-hosted open-source alternative to Datadog.
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), DataDog/datadog-saist has accumulated 110 GitHub stars and 11 forks. It is written in Go, licensed under Apache-2.0, and ranks #25,762 globally. It is actively maintained with the latest commit recorded on Oct 27, 2026.”
| Repository | DataDog/datadog-saist ↗ |
|---|---|
| Primary Category | ai |
| Language & Stack | Go |
| Software License | Apache-2.0 |
| Community Traction | ★ 110 stars · ⑂ 11 forks · #25,762 globally |
| Maintenance | ● Active (Last commit: Oct 27, 2026) · 21 open issues |
| Replaces SaaS | Open Source Datadog Alternative ($15–$23 per host/month + data retention & ingest billing) → |
| Target Audience | Developers and engineering teams building with Go, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 88/100 · Grade AYes, datadog-saist is actively maintained. Continuous telemetry recorded the last code commit on Oct 27, 2026 (17 days ago). Supported by 110 stars and 11 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (17 days ago) and healthy issue cadence.
Star History
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[](https://githubrepo.cloud/repo/DataDog/datadog-saist?utm_source=readme_badge) [](https://githubrepo.cloud/repo/DataDog/datadog-saist?utm_source=readme_badge) [](https://githubrepo.cloud/repo/DataDog/datadog-saist?utm_source=readme_badge) [](https://githubrepo.cloud/repo/DataDog/datadog-saist?utm_source=readme_badge) [](https://githubrepo.cloud/repo/DataDog/datadog-saist?utm_source=readme_badge)Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#2,639
MOST-STARRED Go
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
datadog-saist gained 10 stars in the last 30 days, about 1 a day, and now has 110. It is about 1 year old and has averaged roughly 110 stars a year. It ranks #2,639 among Go repositories and #25,762 across all languages on GitHubRepo.
Trending Record
13
DAYS ON TRENDING
#19526
BEST RANK
Oct 28, 2026
FIRST APPEARANCE
Active
STATUS TODAY
datadog-saist has maintained a continuous presence across global trending indexes, peaking at #19526. Below is the 30-day activity profile:
💡 Overview
datadog-saist is an open-source project written in Go: AI-native SAST.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, ai-tools, sast. 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 Go 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
$ go install github.com/DataDog/datadog-saist@latest⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Go >= 1.21 runtime environment
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
datadog-saist coordinates its core functionality through a modular Go 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 datadog-saist.
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 datadog-saist using your package manager: `go install github.com/DataDog/datadog-saist@latest`
Initialize your project workspace or configuration file for datadog-saist.
Import datadog-saist into your codebase or invoke it directly from your terminal.
Execute your test suite or run `datadog-saist --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Go, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
DataDog/datadog-saist is currently ranked #25,762 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #25,658 | Valenced/valenced-manager | Kotlin | ★ 111 | Compare ↗ |
| #25,658 | niakw/ProsperoEden-Encore | Python | ★ 111 | Compare ↗ |
| #25,658 | azlen/initialis | JavaScript | ★ 111 | Compare ↗ |
| #25,658 | Arunprakaash/mac-tv | Swift | ★ 111 | Compare ↗ |
| #25,658 | tiobeharxi1987/blender-ai-copilot-flow | — | ★ 111 | Compare ↗ |
| #25,762 | DataDog/datadog-saist This Project | Go | ★ 110 | |
| #25,762 | dan-manges/unit-record | Ruby | ★ 110 | Compare ↗ |
| #25,762 | hinke/the-cloud-player | JavaScript | ★ 110 | Compare ↗ |
| #25,762 | xmpppy/xmpppy | Python | ★ 110 | Compare ↗ |
| #25,762 | creationix/jquery-haml | JavaScript | ★ 110 | Compare ↗ |
| #25,762 | danielsdeleo/qusion | Ruby | ★ 110 | Compare ↗ |
Frequently Asked Questions
What does datadog-saist do? +
AI-native SAST
Is datadog-saist actively maintained in 2026? +
Yes, datadog-saist is actively maintained. The latest code push was recorded on Oct 27, 2026 (17 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 110 stars and 21 open issues.
What language is datadog-saist written in? +
The primary language is Go. Topics include: ai, ai-tools, sast, static-analysis.
How many stars does datadog-saist have? +
datadog-saist has 110 stars and 11 forks on GitHub.
How does datadog-saist rank among GitHub repositories? +
With 110 stars, DataDog/datadog-saist is ranked #25,762 globally across all repositories tracked on GitHubRepo and #2,639 among Go projects.
What license is datadog-saist distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
