# Cursor vs devActivity

Cursor records 4,790,129 monthly visits with +6.5% month-over-month growth and Freemium pricing. devActivity records 46,541 monthly visits with +14% growth and Freemium pricing.

| Metric | [Cursor](https://openaitools.app/tool/cursor-sh) | [devActivity](https://openaitools.app/tool/devactivity) |
| :--- | :--- | :--- |
| Website URL | https://cursor.sh | https://devactivity.com |
| Categories | AI Code Assistant, AI Copilot, AI Code Generator, AI Developer Tools | AI Developer Tools, AI GitHub, AI For Data Analytics |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 4,790,129 | 46,541 |
| MoM Growth Rate | +6.5% | +14% |
| Primary Market | United States | United States |
| Direct Visits | 410,780 | 18,682 |
| Review Score | 4.8 | 4.2 |
| Saved Count | 15 | 0 |
| Supported Platforms | Website | Website |

## Cursor

Cursor began as an AI-first code editor and has grown into a broader development platform centered on agents. The desktop application gives you the usual editing, navigation, and debugging experience, but every step is wrapped with AI assistance: context-aware completions, natural language edits, and repository-wide questions answered from an indexed understanding of your project.

Beyond single-file help, Cursor runs autonomous agents that take a described task and work through it end to end. Agents can read documentation, search the codebase, edit many files, run terminal commands, and prepare a summary of what changed. Cloud agents take this further by running in their own hosted environments so long tasks continue even when your laptop is closed, and CLI plus Slack and GitHub integrations let the same agents operate where your team already works.

Model choice is a first-class feature rather than a fixed decision. Cursor lets you switch between leading models from several providers depending on whether you want deep reasoning, low latency, or cheap bulk edits, and teams get enterprise controls for security and governance. It is used by individual developers and large engineering organizations alike.

**Pricing & Plans:** Cursor follows a freemium model: there is a free tier with limited usage plus paid individual and team plans, and separate enterprise pricing that requires contacting sales. Exact rates are best confirmed on the official pricing page.

- **Autonomous coding agents:** Hand off a task in plain language and agents plan it, edit across multiple files, run commands, and report back what changed.
- **Cloud agents and parallelism:** Launch several agents at once in hosted environments so long-running work continues in the background while you focus elsewhere.
- **Flexible frontier model access:** Choose between models from multiple leading providers per task, balancing reasoning depth, speed, and cost as needed.
- **Works where your team works:** Cursor runs as a desktop IDE, in the terminal via CLI, and inside Slack and GitHub so agents review pull requests in existing workflows.
- **Codebase-aware context:** Indexed repository understanding and semantic search give suggestions and agents awareness of your actual project structure and conventions.

**Strengths:** Deep, context-aware assistance that understands an entire repository rather than single snippets; Agent workflows that can genuinely complete multi-step coding tasks end to end; Freedom to switch between many frontier models instead of being locked to one; Usable across desktop, terminal, Slack, and GitHub with cloud agents for long tasks

**Limitations:** Heavy agent usage consumes plan allowance quickly, so costs can scale with intensity; The breadth of features takes time to learn and configure well; Most advanced agentic capability depends on a paid plan

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

## devActivity

devActivity targets the management side of software engineering: performance reviews, retrospectives, and knowing where delivery slows down. It connects to GitHub through an app installation, which means granular visibility into commits, pull requests, code reviews, issues and comments without granting access to repository contents. The privacy framing is explicit — only Git metadata is collected, and no source code is read.

Output comes in several forms. Role-specific dashboards serve product managers, team leads and C-level stakeholders with different views of the same underlying data. AI-powered retrospective insights and operational bottleneck alerts highlight problems worth discussing, while work-quality analytics look beyond raw commit counts to how contributions are reviewed and merged. There is also a gamification layer with XP, levels, challenges, achievements and leaderboards so teams can make improvement visible and motivating.

Setup is a one-time GitHub App install, with no manual data entry afterwards — the platform keeps collecting as the team works. It currently concentrates on the GitHub ecosystem, covering public and private repositories of any size, with other Git hosts on the roadmap. The vendor states that roughly 83 million developers, 200 million repositories and over a billion contributions are represented in the community it aims to serve.

**Pricing & Plans:** Freemium. The GitHub App is free to install and use, with an extended feature set available as a paid upgrade. Pricing details for the higher tiers are listed on the vendor's pricing page.

- **Contribution and work quality analytics:** Measure commit, pull request, review and issue activity alongside how carefully contributions are reviewed and merged.
- **AI retrospective insights:** Generate retrospective talking points and recommendations from real engineering activity in a couple of clicks.
- **Operational bottleneck alerts:** Surface slowdowns in the delivery pipeline before they become recurring schedule problems.
- **Gamification with XP and leaderboards:** XP, levels, challenges, achievements and leaderboards turn process improvement into something teams can rally around.
- **Privacy-first GitHub App install:** Only Git metadata — activity types, timestamps, authors — is collected; source code is never accessed.

**Strengths:** Installs in minutes as a GitHub App with no manual reporting; Collects only Git metadata, not source code; Combines analytics with AI insights and gamification in one tool; Role-specific dashboards for managers, team leads and executives

**Limitations:** Currently limited to GitHub; GitLab and Bitbucket support is still on the roadmap; Metrics can be misread as individual productivity scores if used carelessly; Deeper analytics require moving off the free tier

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

## Frequently Asked Questions

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

Cursor has 4,790,129 monthly visits, while devActivity has 46,541. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Cursor has a month-over-month growth rate of +6.5%; devActivity has +14%.

### How does pricing compare?

Cursor: Freemium. Cursor follows a freemium model: there is a free tier with limited usage plus paid individual and team plans, and separate enterprise pricing that requires contacting sales. Exact rates are best confirmed on the official pricing page. devActivity: Freemium. Freemium. The GitHub App is free to install and use, with an extended feature set available as a paid upgrade. Pricing details for the higher tiers are listed on the vendor's pricing page.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [ChatGPT](https://openaitools.app/tool/chatgpt-4) | 6,048,022,723 | +2.2% | Freemium | OpenAI's flagship multimodal assistant powered by GPT-6 and GPT-5.6 for reasoning, coding, and deep research. | [.md](https://openaitools.app/tool/chatgpt-4.md) |
| 2 | [Claude](https://openaitools.app/tool/claude-2) | 1,253,439,413 | +23.8% | Freemium | Provides superior reasoning and code generation via chat and artifacts, but lacks native inline code editing inside your codebase. | [.md](https://openaitools.app/tool/claude-2.md) |
| 3 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Offers powerful parallel agentic workflows and a dedicated desktop environment, but has a steeper setup curve than Cursor. | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 4 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Allows rapid cloud-based full-stack app deployment from natural language, but lacks a local filesystem IDE experience. | [.md](https://openaitools.app/tool/replit.md) |
| 5 | [VS Code](https://openaitools.app/tool/vs-code) | 7,397,370 | -3.8% | Freemium | Provides total customization and standard extension support, but requires manual setup of AI extensions to match Cursor's integration. | [.md](https://openaitools.app/tool/vs-code.md) |
| 6 | [Qoder](https://openaitools.app/tool/qoder) | 5,145,040 | +81.8% | Freemium, Free Trial, Free | Delivers deep codebase indexing and multi-file task execution via IDE plugins, but lacks a fully custom standalone editor. | [.md](https://openaitools.app/tool/qoder.md) |
| 7 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | Provides spec-driven AI development workflows from AWS, but focuses more on structured engineering specifications than freeform editing. | [.md](https://openaitools.app/tool/kiro.md) |
| 8 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Operates as a fully autonomous AI software engineer for pull requests, but offers less interactive inline editing than Cursor. | [.md](https://openaitools.app/tool/devin.md) |
| 9 | [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) |
| 10 | [Trae](https://openaitools.app/tool/trae) | 702,366 | -7.8% | Freemium | Features a polished AI-native IDE interface and smart coding agent, but lacks Cursor's mature extension ecosystem. | [.md](https://openaitools.app/tool/trae.md) |

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Source: https://openaitools.app/compare/cursor-sh-vs-devactivity

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)