# Dagster vs devActivity

Dagster records 105,563 monthly visits with -18.5% month-over-month growth and Free Trial, Paid, Contact for Pricing pricing. devActivity records 46,541 monthly visits with +14% growth and Freemium pricing.

| Metric | [Dagster](https://openaitools.app/tool/dagster) | [devActivity](https://openaitools.app/tool/devactivity) |
| :--- | :--- | :--- |
| Website URL | https://www.dagster.io | https://devactivity.com |
| Categories | AI Developer Tools, AI Workflow, AI For Data Analytics, AI Productivity Tools | AI Developer Tools, AI GitHub, AI For Data Analytics |
| Pricing Model | Free Trial, Paid, Contact for Pricing | Freemium |
| Monthly Visits | 105,563 | 46,541 |
| MoM Growth Rate | -18.5% | +14% |
| Primary Market | China | United States |
| Direct Visits | 25,739 | 18,682 |
| Review Score | 4.4 | 4.2 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Dagster

Dagster approaches orchestration from the output side. Instead of defining a pipeline as a sequence of tasks that either finish or fail, you declare the data assets you want to produce and their dependencies. Dagster then handles scheduling, backfills, partitions and retries, and — because it knows which asset each run touched — it can tell you automatically what downstream data is affected when something breaks. That asset graph is also what generates lineage and data health views without bolting on a separate catalog.

The platform covers the full DataOps loop. Orchestration runs asset-based pipelines across dbt, Snowflake, Fivetran, Spark, Python and other tools; observability surfaces lineage, freshness, dependencies and failures across the whole stack; and Dagster AI turns that accumulated context into diagnoses and actions. For organizations running data agents, a Compass layer lets teams build governed agents on top of trusted workflows. Deployment is flexible: Dagster+ managed cloud, hybrid where compute stays in your own infrastructure while the control plane is hosted, or fully self-hosted open source.

Dagster's positioning against Apache Airflow rests on that asset-centric philosophy — Airflow tells you a job failed, Dagster aims to tell you which asset broke, why, and what depends on it. The project was developed by Dagster Labs and is now part of Prefect, which has committed to continuing the platform; the open-source core remains available on GitHub.

**Pricing & Plans:** Freemium and open source. The core orchestration framework is free and self-hostable under an open-source licence, and there is a free entry tier for Dagster+. Paid team and business plans scale with usage, while enterprise deployments — branch deployments, hybrid compute, governance and SSO — are quoted through sales.

[Profile (Markdown)](https://openaitools.app/tool/dagster.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 Dagster and devActivity compare in monthly traffic?

Dagster has 105,563 monthly visits, while devActivity has 46,541. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Dagster has a month-over-month growth rate of -18.5%; devActivity has +14%.

### How does pricing compare?

Dagster: Free Trial, Paid, Contact for Pricing. Freemium and open source. The core orchestration framework is free and self-hostable under an open-source licence, and there is a free entry tier for Dagster+. Paid team and business plans scale with usage, while enterprise deployments — branch deployments, hybrid compute, governance and SSO — are quoted through sales. 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 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Automate work across thousands of apps — no code required | [.md](https://openaitools.app/tool/zapier-com.md) |
| 2 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Open-source workflow automation built for AI agents and technical teams | [.md](https://openaitools.app/tool/n8n.md) |
| 3 | [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) |
| 4 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Build, deploy, and govern production-ready agentic AI workflows | [.md](https://openaitools.app/tool/dify-ai.md) |
| 5 | [Labelbox](https://openaitools.app/tool/labelbox) | 762,803 | -22.8% | Contact for Pricing | The environments frontier AI trains on, and the agents that do the recurring work | [.md](https://openaitools.app/tool/labelbox.md) |
| 6 | [Convex](https://openaitools.app/tool/convex) | 390,417 | -18.7% | Freemium, Paid | Reactive TypeScript backend with database, functions and AI gateway | [.md](https://openaitools.app/tool/convex.md) |
| 7 | [Tines](https://openaitools.app/tool/tines) | 273,260 | +24.4% | Freemium, Contact for Pricing | A secure environment where teams build, deploy and govern AI agents, apps and automations | [.md](https://openaitools.app/tool/tines.md) |
| 8 | [Activepieces](https://openaitools.app/tool/activepieces) | 258,553 | +1.5% | Freemium | Open-source AI automation that unifies agents, flows and 770+ app integrations | [.md](https://openaitools.app/tool/activepieces.md) |
| 9 | [Airbyte](https://openaitools.app/tool/airbyte) | 151,332 | -18.6% | Freemium, Free Trial, Paid | Open-source data integration engineered for AI agents and analytics | [.md](https://openaitools.app/tool/airbyte.md) |
| 10 | [Sim AI](https://openaitools.app/tool/sim-ai) | 140,953 | +20.6% | Freemium, Paid (per user/month), and Enterprise with custom pricing; self-hosting free under Apache 2.0 | Open-source workspace to build, deploy and govern AI agents | [.md](https://openaitools.app/tool/sim-ai.md) |

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Source: https://openaitools.app/compare/dagster-vs-devactivity

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