Fireworks AI vs LangChain
LangChain leads in package downloads at 23x; Fireworks AI has raised more funding at $77M; LangChain leads in active contributors with 11 (30d); LangChain leads in code adoption with 21.6K repos importing. Updated daily with live metrics.
Fireworks AI: 467.3K downloads/mo (+18%), 137 GitHub stars, 2 active contributors, 1 repos importing, $77M funded vs
LangChain: 10.7M downloads/mo (-6%), 130.0K GitHub stars, 11 active contributors, 1.6K dependents, 21.6K repos importing, $35M funded
Source: AI-Buzz Developer Adoption Index (DAI). Updated daily from 12 data sources.
Downloads (30d)
Disclosed Funding
GitHub Stars
Package Dependents
Repos Importing (code adoption)
HN Mentions (30d)
Momentum (0-100)
Key Differences
For production adoption: LangChain is depended on by 6.0K packages versus 49 for Fireworks AI. LangChain leads in package downloads with 10.7M per month compared to 467.3K for Fireworks AI (LangChain -6% MoM, Fireworks AI +18% MoM). LangChain appears in 21.6K GitHub repositories compared to 1 for Fireworks AI.
For growth trajectory: LangChain has 130.0K GitHub stars versus 137 for Fireworks AI. LangChain received 9 Hacker News mentions in the last 30 days.
For longevity/risk: Fireworks AI has raised $77M in total disclosed funding, while LangChain has raised $35M. Fireworks AI's most recent round was Series B, while LangChain's most recent round was Series A. LangChain attracted 11 active contributors in the last 30 days compared to 2 for Fireworks AI. Fireworks AI operates in AI Infrastructure while LangChain focuses on Foundation Models.
Bottom Line
LangChain leads on developer adoption with 10.7M monthly package downloads. Fireworks AI counters with 137 GitHub stars, reflecting strong developer awareness. For a deeper look, visit each company's full profile for trend charts, funding rounds, and community sentiment data.
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| Metric | Updated Mar 18 | Updated Mar 18 |
|---|---|---|
| Website | fireworks.ai → | langchain.com → |
| Description | Fast and efficient generative AI inference platform | Framework for building LLM-powered applications. Chains, agents, RAG. |
| Total Disclosed Funding Source: Public records / manual researchUpdates: Weekly | $77M✓ | $35M |
| Last Funding | Series B Jul 2024 | Series A Feb 2024 |
| Developer Adoption | ||
| Momentum | 36Moderate | 39Moderate✓ |
| npm Registry Downloads (30d) Source: npm registryUpdates: DailyNote: Includes all package installations including CI/CD pipelines and mirrors | 0 | 0 (2 packages) |
| npm Trend (30d) | - | |
| PyPI Registry Downloads (30d) Source: PyPI (Google BigQuery)Updates: DailyNote: Includes all package installations including CI/CD pipelines and mirrors | 467.3K | 10.7M✓ (2 packages) |
| PyPI Trend (30d) | ||
| Total Downloads (30d) Source: npm + PyPI registriesUpdates: DailyNote: Sum of npm and PyPI; excludes other package managers | 467.3K+18% | 10.7M-6%✓ (2 packages) |
| Active Contributors/Day Source: GitHub APIUpdates: DailyNote: Tracks designated public repos per company, not all company GitHub activity | 2 | 11✓ |
| Contributors Trend | - | New |
| npm Dependents Source: Libraries.io APIUpdates: WeeklyNote: Counts direct and dev dependents | N/A | 1.6K✓ |
| PyPI Dependents Source: Libraries.io APIUpdates: WeeklyNote: Counts direct reverse dependencies from PyPI | 49 | 4.4K✓ |
| Code Adoption (repos) Source: ecosyste.ms Packages APIUpdates: DailyNote: Approximate count; excludes forksExclusive | 1 | 21.6K✓ |
| HN Discussion Share Source: Hacker News (Algolia API)Updates: DailyNote: Share of HN mentions within the company's primary category | 0.7% of HN mentions | 2.3% of HN mentions |
| Status | Unknown | Private |
| HN Mentions (30d) Source: Hacker News (Algolia API)Updates: Daily | 0 | 9✓ |
| HN Mentions Trend (30d) | ||
| Reddit Mentions (30d) Source: Reddit (search API)Updates: DailyNote: Counts posts/comments mentioning the company by nameExclusive | 0 | 3✓ |
| Job Mentions (30d) Source: Job board aggregationUpdates: DailyNote: Counts job listings mentioning the company's technologyExclusive | N/A | 2✓ |
| GitHub Stars Source: GitHub APIUpdates: DailyNote: Stars are bookmarks — a popularity signal, not a usage indicator | 137 | 130.0K✓ |
| Founded | 2023 | 2022 |
| Primary Category | ||
| Data Last Updated | ||
Frequently Asked Questions
- Which has more developer adoption, Fireworks AI or LangChain?
- LangChain has 10.7M package downloads per month, making it the more widely adopted tool among developers.LangChain profile →
- Which has more real-world code adoption, Fireworks AI or LangChain?
- LangChain appears in 21.6K GitHub repositories that import its packages, compared to 1 for Fireworks AI. This metric is exclusive to AI-Buzz.How we measure code adoption →
- Which is mentioned more in job listings, Fireworks AI or LangChain?
- LangChain appeared in 2 job listings in the last 30 days, compared to 0 for Fireworks AI. Job mention data is tracked exclusively by AI-Buzz.How we track job mentions →
- Which is growing faster, Fireworks AI or LangChain?
- LangChain has a momentum score of 39/100, indicating moderate growth trajectory. Momentum is calculated from download trends, GitHub activity, and community signals.Developer Adoption Index →
- Which company has more funding, Fireworks AI or LangChain?
- Fireworks AI has raised $77M in total disclosed funding.AI funding data →
Download comparison data
Source: AI-Buzz Developer Adoption Index. Free to use with attribution.
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