---
title: "firecrawl vs HuChenFeng"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/firecrawl-firecrawl-vs-olcmyk-huchenfeng"
tools: ["firecrawl-firecrawl", "olcmyk-huchenfeng"]
---

# firecrawl vs HuChenFeng

*GraphCanon updated Aug 16, 2026*

## Verdict

Pick firecrawl if fireCrawl is an API-driven toolkit built for conducting scalable searches, scraping tasks, and interactive operations with the web using AI agents; pick HuChenFeng if huChenFeng offers a comprehensive text archive of live streams by Hu Chenfeng from 2023-2025, ideal for fan engagement or detailed research on his content.

[firecrawl](https://firecrawl.dev) reports 168k GitHub stars, 9.4k forks, and 508 open issues, last pushed Aug 15, 2026. [HuChenFeng](https://huchenfeng.live) has 1.6k stars, 180 forks, and 23 open issues, last pushed Feb 17, 2026. Figures are from public GitHub metadata via [firecrawl's repository](https://github.com/firecrawl/firecrawl) and [HuChenFeng's repository](https://github.com/Olcmyk/HuChenFeng).

| | [firecrawl](/tools/firecrawl-firecrawl.md) | [HuChenFeng](/tools/olcmyk-huchenfeng.md) |
| --- | --- | --- |
| Tagline | The API to search, scrape, and interact with the web at scale. 🔥 | Comprehensive textual archive of Hu Chenfeng's live streams from 2023-2025 |
| Stars | 167,794 | 1,634 |
| Forks | 9,398 | 180 |
| Open issues | 508 | 23 |
| Language | TypeScript | - |
| Adopt for | FireCrawl is an API-driven toolkit built for conducting scalable searches, scraping tasks, and interactive operations with the web using AI agents. | HuChenFeng offers a comprehensive text archive of live streams by Hu Chenfeng from 2023-2025, ideal for fan engagement or detailed research on his content. |
| Persona | - | - |
| Runtime | - | - |
| License | AGPL-3.0 license requires that any changes to FireCrawl's source code also be made available as free software when the adapted version is used. | MIT |
| Categories | AI Agents, Data & Retrieval | Data & Retrieval, Speech & Audio |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [firecrawl](/tools/firecrawl-firecrawl.md) | [HuChenFeng](/tools/olcmyk-huchenfeng.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Slowing (36%) |
| Days since push | 0d | 163d |
| Open issues (now) | 508 | 23 |
| Stars delta | +16k (30d) | Unknown |
| Open issues delta | +106 (30d) | Unknown |
| Owner type | Organization | User |
| Full report | [trust report](/tools/firecrawl-firecrawl/trust.md) | [trust report](/tools/olcmyk-huchenfeng/trust.md) |

## Decision facts: firecrawl

- **Hosting:** self hosted - FireCrawl can be deployed on your infrastructure, giving you complete control over where and how the API interacts with web data.
- **Requirements:** Min 4 GB RAM; Requires Docker
- **Adopt for:** FireCrawl is an API-driven toolkit built for conducting scalable searches, scraping tasks, and interactive operations with the web using AI agents.
- **License detail:** AGPL-3.0 license requires that any changes to FireCrawl's source code also be made available as free software when the adapted version is used.

## Decision facts: HuChenFeng

- **Adopt for:** HuChenFeng offers a comprehensive text archive of live streams by Hu Chenfeng from 2023-2025, ideal for fan engagement or detailed research on his content.

## Choose when

### Choose firecrawl if…

- License: firecrawl is AGPL-3.0, HuChenFeng is MIT.
- FireCrawl can be deployed on your infrastructure, giving you complete control over where and how the API interacts with web data.
- Requirements: Min 4 GB RAM; Requires Docker.
- Tags unique to firecrawl: ai-agents, crawler, scraping, search.
- Also covers AI Agents.
- When you need to automate complex web interactions that require understanding context or content from multiple sources, leveraging its AI agent capabilities.

### Choose HuChenFeng if…

- License: HuChenFeng is MIT, firecrawl is AGPL-3.0.
- Tags unique to HuChenFeng: archiving, content-analysis, speech-to-text, text-analysis.
- Also covers Speech & Audio.
- Fans and researchers need insight into Hu Chenfeng's specific live stream discussions.

## When NOT to use firecrawl

- For lightweight scraping tasks where minimal data extraction is sufficient and speed is of utmost importance without the need for advanced AI analysis.
- If you require open-source components under a license other than AGPL-3.0, as this license may impose certain restrictions on derivative works.

## When NOT to use HuChenFeng

- For generalized AI development tools or frameworks
- If seeking data from other creators outside of HuChenFeng's body of work

## Common questions

### What is the difference between firecrawl and HuChenFeng?

firecrawl: The API to search, scrape, and interact with the web at scale. 🔥. HuChenFeng: Comprehensive textual archive of Hu Chenfeng's live streams from 2023-2025. See the comparison table for live GitHub stats and shared categories.

### When should I choose firecrawl over HuChenFeng?

Choose firecrawl over HuChenFeng when License: firecrawl is AGPL-3.0, HuChenFeng is MIT; FireCrawl can be deployed on your infrastructure, giving you complete control over where and how the API interacts with web data; Requirements: Min 4 GB RAM; Requires Docker; Tags unique to firecrawl: ai-agents, crawler, scraping, search; Also covers AI Agents; When you need to automate complex web interactions that require understanding context or content from multiple sources, leveraging its AI agent capabilities.

### When should I choose HuChenFeng over firecrawl?

Choose HuChenFeng over firecrawl when License: HuChenFeng is MIT, firecrawl is AGPL-3.0; Tags unique to HuChenFeng: archiving, content-analysis, speech-to-text, text-analysis; Also covers Speech & Audio; Fans and researchers need insight into Hu Chenfeng's specific live stream discussions.

### When should I avoid firecrawl?

For lightweight scraping tasks where minimal data extraction is sufficient and speed is of utmost importance without the need for advanced AI analysis. If you require open-source components under a license other than AGPL-3.0, as this license may impose certain restrictions on derivative works.

### When should I avoid HuChenFeng?

For generalized AI development tools or frameworks If seeking data from other creators outside of HuChenFeng's body of work

### Is firecrawl or HuChenFeng more popular on GitHub?

firecrawl has more GitHub stars (167,794 vs 1,634). Stars measure visibility, not whether either tool fits your constraints.

### Are firecrawl and HuChenFeng open source?

Yes - both are open-source projects on GitHub (firecrawl: AGPL-3.0, HuChenFeng: MIT).

### Where can I find alternatives to firecrawl or HuChenFeng?

GraphCanon lists graph-backed alternatives at [firecrawl alternatives](/tools/firecrawl-firecrawl/alternatives) and [HuChenFeng alternatives](/tools/olcmyk-huchenfeng/alternatives) ([firecrawl markdown twin](/tools/firecrawl-firecrawl/alternatives.md), [HuChenFeng markdown twin](/tools/olcmyk-huchenfeng/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/firecrawl-firecrawl-vs-olcmyk-huchenfeng.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, firecrawl or HuChenFeng?

firecrawl: Very active. HuChenFeng: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for firecrawl and HuChenFeng?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [firecrawl trust report](/tools/firecrawl-firecrawl/trust); [HuChenFeng trust report](/tools/olcmyk-huchenfeng/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=firecrawl-firecrawl`](/api/graphcanon/graph?tool=firecrawl-firecrawl)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
