Compare Cursor and Ollama across package adoption, contributors, funding, and discussion signals.
Data sources: npm, PyPI, GitHub, Crunchbase, Hacker News, Reddit, job boards. Methodology →
Cursor: 32.5K GitHub stars, $3.4B funded vs
Ollama: 496.8K npm + PyPI downloads/mo (+22% MoM), 166.1K GitHub stars, 3 active contributors, 671 dependents, 1 repos importing
Source: AI-Buzz Developer Adoption Index (DAI). Updated daily from 12 data sources. Methodology →
Ollama leads across 5 of 7 key metrics
Downloads (30d)
Disclosed Funding
GitHub Stars
Package Dependents
Repos Importing (code adoption)
HN Mentions (30d)
Momentum (0-100)
As of March 2026, Ollama leads in GitHub stars with 166.1K vs 32.5K for Cursor.
For production adoption: Ollama has 496.8K package downloads/mo (+22% MoM). Ollama is depended on by 1.7K packages. Ollama appears in 1 GitHub repositories.
For growth trajectory: Ollama has 166.1K GitHub stars vs 32.5K for Cursor. Ollama received 8 Hacker News mentions (30d).
For longevity/risk: Cursor has raised $3.4B in total disclosed funding. Cursor's most recent round was Series C. Cursor operates in Code Generation while Ollama focuses on Foundation Models.
Ollama leads on developer adoption with 496.8K monthly package downloads. Cursor has 32.5K GitHub stars. 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 25 | Updated Mar 25 |
|---|---|---|
| Website | cursor.sh → | ollama.ai → |
| Description | AI-native code editor. Built for pair programming with AI. | Run LLMs locally. Open-source tool for running models on your machine. |
| Data Confidence Source: AI-BuzzUpdates: DailyNote: Composite score (0-100) based on field completeness, metric freshness, and identifier coverage. Higher = more reliable data.Methodology → | Excellent (86%) No packages tracked | Excellent (96%) |
| Signal Coverage Source: AI-BuzzUpdates: DailyNote: Number of non-null adoption metrics tracked. Companies with more signals have more reliable composite scores.Methodology → | 2/7 metrics | 7/7 metrics |
| Total Disclosed Funding Source: Public records / manual researchUpdates: WeeklyMethodology → | $3.4B | - |
| Last Funding | Series C Jun 2025 | - |
| Developer Adoption | ||
| Momentum | 39Moderate✓ | 38Moderate |
| npm Registry Downloads (30d) Source: npm registryUpdates: DailyNote: Includes all package installations including CI/CD pipelines and mirrorsMethodology → | - | 74.9K |
| npm Trend (30d) | - | |
| PyPI Registry Downloads (30d) Source: PyPI (pypistats.org)Updates: DailyNote: Includes all package installations including CI/CD pipelines and mirrorsMethodology → | - | 421.9K |
| PyPI Trend (30d) | - | |
| Total Downloads - npm + PyPI (30d) Source: npm + PyPI registriesUpdates: DailyNote: Sum of npm and PyPI; excludes other package managersMethodology → | Not tracked | 496.8K+22%✓ |
| Active Contributors/Day Source: GitHub APIUpdates: DailyNote: Tracks designated public repos per company, not all company GitHub activityMethodology → | 0 | 3✓ |
| Contributors Trend | - | 0% |
| npm Dependents Source: Libraries.io APIUpdates: WeeklyNote: Counts direct and dev dependentsMethodology → | - | 671 |
| PyPI Dependents Source: Libraries.io APIUpdates: WeeklyNote: Counts direct reverse dependencies from PyPIMethodology → | - | 983 |
| Code Adoption (repos) Source: ecosyste.ms Packages APIUpdates: DailyNote: Approximate count; excludes forksMethodology →Exclusive | - | 1 |
| HN Discussion Share Source: Hacker News (Algolia API)Updates: DailyNote: Share of HN mentions within the company's primary categoryMethodology → | - | 1.3% of HN mentions |
| Status | Private | Private |
| HN Mentions (30d) Source: Hacker News (Algolia API)Updates: DailyMethodology → | 0 | 8✓ |
| HN Mentions Trend (30d) | ||
| Reddit Mentions (30d) Source: Reddit (search API)Updates: DailyNote: Counts posts/comments mentioning the company by nameMethodology →Exclusive | 4 | 10✓ |
| Job Mentions (30d) Source: Job board aggregationUpdates: DailyNote: Counts job listings mentioning the company's technologyMethodology →Exclusive | 2 | - |
| GitHub Stars Source: GitHub APIUpdates: DailyNote: Stars are bookmarks - a popularity signal, not a usage indicatorMethodology → | 32.5K | 166.1K✓ |
| Founded | 2023 | 2023 |
| Primary Category | ||
| Data Last Updated | ||
Data sources: npm, PyPI, GitHub, Crunchbase, Hacker News, Reddit, job boards. Methodology →
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Compare metric trends across companies over time
Comparing npm Downloads over 30 days: Ollama (74.9K).
Source: npm registry | Methodology | CC BY 4.0
| Date | Cursor | Ollama |
|---|---|---|
| Feb 24 | - | 68.6K |
| Mar 3 | - | 70.6K |
| Mar 10 | - | 72.0K |
| Mar 17 | - | 0 |
| Mar 24 | - | 71.9K |
| Mar 25 | - | 74.9K |
