---
title: "Awesome Ai Dev Platform Opensource"
pageType: "tool-profile"
schemaVersion: "1.0"
snapshotId: "tv-20260911-8ab5e3f1311b"
generatedAt: "2026-09-11T07:01:56.000Z"
canonicalUrl: "https://toolvitals.com/tools/awesome-ai-dev-platform-opensource/"
jsonUrl: "https://toolvitals.com/api/agent/tools/awesome-ai-dev-platform-opensource"
indexable: false
---

# Awesome Ai Dev Platform Opensource

An On-Chain Open-Source Platform for Rapid AI Model Productization Using Decentralized Resources with Flexibility and Scalability

## Decision context

- Status: data pending
- ToolVitals score: Not collected
- Health score: Not collected
- Shipping score: Not collected
- Score mode: not scored
- Data confidence: 90/100
- Source coverage: 75/100
- Last evidence check: 2026-09-11

## Classification

- Use case: Data Annotation & Labeling (data-annotation)
- Category: Data & Analytics (data)
- Tool mode: Source-visible project
- Openness: License unknown
- License: Other
- Tags: automation, workflow, integrations, open-source, api-first, ai, ai-dataset, ai-deployment-and-integration, ai-development-tools, annotation-tool, automation-workflow, blockchain-technology, crowdsourcing-platforms, data-crawler, data-scraper, ddp

## Public repository signals

- Repository: [AIxBlock-2023/awesome-ai-dev-platform-opensource](https://github.com/AIxBlock-2023/awesome-ai-dev-platform-opensource)
- Stars: 605 (adoption context only)
- Forks: 216
- Open issues: 321
- Last commit date: 2026-04-06
- Releases in 90 days: 0

## Source receipts

- [Official website](https://aixblock.io/) — checked 2026-09-11
- [Source repository](https://github.com/AIxBlock-2023/awesome-ai-dev-platform-opensource) — checked 2026-09-11

## Discovery status

- Search indexable: no
- Reason: thin or data-pending tool evidence

## Interpretation limits

- ToolVitals scores summarize bounded public maintenance, shipping, openness, and evidence signals. They are not user-review ratings.
- GitHub stars and related popularity metrics are adoption context, not quality evidence.
- Missing values mean not collected or not confidently established; they do not mean zero.
- Public signals do not prove security, uptime, support quality, customer satisfaction, or production suitability.
- Verify material decisions against the linked first-party sources and your own requirements.