TL;DR - CircleCI
- CircleCI is a continuous integration platform that automates building, testing, and deploying code
- It runs pipelines on every commit with parallelism, caching, and Docker support
- Free tier with 6,000 build minutes/month, paid plans from $15/month
Pricing: Free plan available
Best for: Growing teams
4.3/5 across review platforms
Pros & Cons
Pros
- Fast builds
- Docker support
- Good free tier
Cons
- Complex pricing
- Learning curve
Ratings Across the Web
4.3(511 reviews)
Ratings aggregated from independent review platforms. Learn more
Key Features
CI/CD pipelinesDocker supportMulti-platform (Linux/Windows/macOS/Arm)Self-hosted runnersDocker layer cachingFlaky test detectionPrivate orbsGPU support
Pricing Plans
Free
Free
- 6,000 build minutes/month
- 5 active users
- 30x concurrency
- Docker/Linux/Windows/macOS/Arm
- Self-hosted runners
Performance
$15
- 30,000 credits included
- 5 active users
- Larger resources
- 80x concurrency
- Bulk credit discounts
Scale
- Customizable plans
- Enterprise controls
- Largest resource classes
- GPU support
- Optional 24/7 support
About CircleCI
By Toolradar Team·
CircleCI is a cloud-based CI/CD platform offering flexible usage-based pricing with support for Docker, Linux, Windows, macOS, and Arm environments plus self-hosted runners.
Reviews
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CircleCI FAQ
What is CircleCI?
CircleCI is a cloud-based continuous integration and delivery platform that automates building, testing, and deploying code across multiple environments including Docker, Linux, Windows, macOS, and Arm.
How does CircleCI pricing work?
CircleCI uses a credit-based system. The free tier includes 6,000 build minutes. Performance starts at $15/month with 30,000 credits. Scale plans are custom-priced with annual billing.
Does CircleCI support self-hosted runners?
Yes, CircleCI supports self-hosted runners across all plans, allowing you to run builds on your own infrastructure while using CircleCIs orchestration and UI.
What environments does CircleCI support?
CircleCI supports Docker, Linux VMs, Windows, macOS, Arm, and GPU environments with various resource classes from small to 2X-Large+.
Source: circleci.com