# Cursor vs TrustOSS

Cursor records 23,297,751 monthly visits with +8.4% month-over-month growth and Freemium pricing. TrustOSS records 0 monthly visits with 0% growth and Free pricing.

| Metric | [Cursor](https://openaitools.app/tool/cursor) | [TrustOSS](https://openaitools.app/tool/trustoss) |
| :--- | :--- | :--- |
| Website URL | https://www.cursor.com | https://trustoss.org |
| Categories | AI Code Assistant, AI Developer Tools, AI Agent | AI GitHub, AI Developer Tools, AI Agent |
| Pricing Model | Freemium | Free |
| Monthly Visits | 23,297,751 | 0 |
| MoM Growth Rate | +8.4% | 0% |
| Primary Market | United States | Global |
| Direct Visits | 14,683,770 | 0 |
| Review Score | 4.7 | 4.6 |
| Saved Count | 29 | 0 |
| Supported Platforms | Website | Website |

## Cursor

Cursor's editor looks familiar to anyone who has used a modern IDE, but the center of gravity is the agent. Instead of only suggesting the next line, it can read a task description, inspect the repository, produce an implementation plan, modify many files, run commands, and report back with a summary of what changed. Developers keep control by approving plans, reviewing diffs, and stepping in wherever judgment is needed.

The product has expanded well beyond a single application. Cloud agents can run on their own machines for extended periods, Cursor ships a CLI, and integrations bring the same agent into Slack and GitHub so work can be handed off without switching tools. A model picker lets you use frontier models from several providers, or rely on automatic selection per task.

This makes Cursor a good fit for teams that want measurable velocity gains on large codebases while keeping human review in the loop. The trade-offs are mostly about cost and process: capable agents consume quota, remote indexing raises questions for security-conscious organizations, and teams need light conventions for when to delegate versus write code directly.

**Pricing & Plans:** Cursor uses a freemium model: you can start for free with limited usage, then move to paid Pro, team, and enterprise tiers that unlock higher model limits, cloud agents, and administrative controls. Exact seats and credit allowances change over time, so check cursor.com/pricing for current numbers.

- **Agent-driven code changes:** An agentic mode that plans changes, edits several files at once, runs tests, and iterates until the task is complete.
- **Cloud and parallel agents:** Background agents spin up their own environments to build, test, and demo features in parallel, then hand back results for review.
- **Tab completion and codebase context:** Fast inline suggestions plus codebase-wide semantic search and indexing so answers reflect your actual repository.
- **Multi-model flexibility:** Switch between leading frontier models from multiple providers, or let Cursor select a model automatically for each task.
- **CLI, Slack and GitHub workflows:** Run Cursor from the terminal, chat with it in Slack, and let it review or open pull requests in GitHub without leaving your workflow.

**Strengths:** Strong repository-wide context and multi-file edits; Agent runs in the editor, cloud, CLI, Slack, and GitHub; Choose from multiple frontier models in one place; Familiar IDE experience for developers coming from other editors

**Limitations:** Requires a paid plan for the most capable models and higher usage; Learning curve to use agentic workflows effectively; Heavy cloud agent usage can consume plan quota quickly; Codebase indexing sends code to remote services, which some compliance teams must review

[Profile (Markdown)](https://openaitools.app/tool/cursor.md)

## TrustOSS

TrustOSS is an open-source due-diligence tool that answers a question star counts cannot: is this GitHub repository actually healthy enough to depend on? You paste an owner/repo, a GitHub URL, or a natural-language search like "rust http client", and it produces a graded report built from public GitHub data — no account required for the core checks.

The analysis goes well beyond popularity. Its health score weights activity, maintenance, community, documentation and maturity into a single 0–100 number. A separate star audit inspects the growth curve and profiles recent stargazers to surface patterns associated with bought stars, a real problem given research estimating millions of suspected fake stars on GitHub. The deep scan then probes harder signals: known vulnerabilities from OSV, actual adoption via dependent packages on deps.dev, bus factor from commit concentration, CI pass rate, PR merge rate and whether the repo is essentially docs-only.

Every report lives at a shareable URL, so teams can link evidence in a dependency review. Finalists can be compared two to four at a time with a radar chart and score table, and an embeddable SVG badge lets maintainers show their live score in a README. A cloneable npm CLI and an agent skill bring the same analysis into terminals and AI coding workflows, which makes it useful both for a one-off check and for automating dependency vetting.

**Pricing & Plans:** Free. Searching, analyzing, comparing, deep scans, star audits and README badges require no payment and no account; sign-in with GitHub is optional and only unlocks a maintainer dashboard for your own repositories.

- **Repository health score:** A 0–100 score with a letter grade, broken into five weighted dimensions — activity, maintenance, community, documentation and maturity — computed entirely from public GitHub data.
- **Fake-star audit:** Plots the star growth curve and profiles recent stargazers by account age, followers and repo count to flag bought popularity.
- **Deep scan:** Checks known vulnerabilities from OSV, real dependent packages from deps.dev, bus factor from commit concentration, CI pass rate, PR merge rate and docs-only detection, reported as OK/WARN/RISK findings with evidence.
- **Side-by-side comparison:** Pick 2–4 candidate libraries and get a radar chart plus a score table across all five dimensions, with the strongest pick highlighted.
- **CLI, badge and agent skill:** The trustoss-cli npm package brings analyze, deep-scan and star-audit to your terminal and installs a skill so AI coding agents can vet dependencies automatically; every repo also gets an embeddable SVG README badge.

**Strengths:** Free with no account required for the core analysis, comparison, deep scan and star audit features.; Reads signals that are hard to fake — commit concentration, real dependent packages, issue handling and stargazer profiles — instead of relying on star counts.; Deep scan pulls concrete evidence from OSV vulnerabilities and deps.dev adoption data rather than vague quality claims.; Shareable report URLs, radar-chart comparisons and a README badge make results easy to circulate in dependency reviews.

[Profile (Markdown)](https://openaitools.app/tool/trustoss.md)

## Frequently Asked Questions

### How do Cursor and TrustOSS compare in monthly traffic?

Cursor has 23,297,751 monthly visits, while TrustOSS has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Cursor has a month-over-month growth rate of +8.4%; TrustOSS has 0%.

### How does pricing compare?

Cursor: Freemium. Cursor uses a freemium model: you can start for free with limited usage, then move to paid Pro, team, and enterprise tiers that unlock higher model limits, cloud agents, and administrative controls. Exact seats and credit allowances change over time, so check cursor.com/pricing for current numbers. TrustOSS: Free. Free. Searching, analyzing, comparing, deep scans, star audits and README badges require no payment and no account; sign-in with GitHub is optional and only unlocks a maintainer dashboard for your own repositories.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Provides powerful parallel AI coding agents via a desktop command center, but is less integrated into a traditional editor. | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 2 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Enables instant cloud-based full-stack app building from natural language, but is less suited for local offline repositories. | [.md](https://openaitools.app/tool/replit.md) |
| 3 | [VS Code](https://openaitools.app/tool/vs-code) | 7,397,370 | -3.8% | Freemium | Offers unmatched extension support and official Copilot integration, but lacks Cursor's out-of-the-box deep codebase indexing and agentic editing. | [.md](https://openaitools.app/tool/vs-code.md) |
| 4 | [Qoder](https://openaitools.app/tool/qoder) | 5,145,040 | +81.8% | Freemium, Free Trial, Free | Features advanced multi-file planning and codebase reading, but lacks Cursor's smooth chat-to-edit inline workflows. | [.md](https://openaitools.app/tool/qoder.md) |
| 5 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | Focuses on spec-driven engineering and structured agent planning, but offers less fluid ad-hoc inline code generation than Cursor. | [.md](https://openaitools.app/tool/kiro.md) |
| 6 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Operates as a fully autonomous software engineer for complex tasks, but lacks the snappy interactive inline editing of Cursor. | [.md](https://openaitools.app/tool/devin.md) |
| 7 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | The coding agent that learns your coding taste | [.md](https://openaitools.app/tool/command-code.md) |
| 8 | [DeepWiki by Cognition](https://openaitools.app/tool/deepwiki-by-congnition) | 879,539 | -3.1% | Free | AI-generated wikis and chat for any public GitHub repository | [.md](https://openaitools.app/tool/deepwiki-by-congnition.md) |
| 9 | [Trae](https://openaitools.app/tool/trae) | 702,366 | -7.8% | Freemium | Delivers a polished AI-native IDE experience with multi-file generation, but has a smaller ecosystem than Cursor. | [.md](https://openaitools.app/tool/trae.md) |
| 10 | [Warp](https://openaitools.app/tool/warp-ai) | 657,372 | -9.3% | Freemium, Contact for Pricing | AI-powered terminal and agentic software factory for development teams | [.md](https://openaitools.app/tool/warp-ai.md) |

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Source: https://openaitools.app/compare/cursor-vs-trustoss

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