Bitbucket records 13,080,878 monthly visits with -1.2% month-over-month growth and Freemium pricing. Weights & Biases (CoreWeave Forge) records 315,624 monthly visits with -80.2% growth and Freemium, Contact for Pricing, Free pricing.
Git hosting and CI/CD for teams that live in Jira
Track, evaluate, and ship AI models and agents in one connected environment.
| Dimension / Metric | | |
|---|---|---|
| Official Domain | bitbucket.org | wandb.ai |
| Pricing Model | Freemium | Freemium, Contact for Pricing, Free |
| Monthly Visits | 13.08M (13,080,878) | 315.62K (315,624) |
| MoM Traffic Delta | -153.21K (-1.2%) | -1.28M (-80.2%) |
| Primary Market & Share | 🇺🇸 United States (21.7%) | 🇺🇸 United States (32.2%) |
| Direct Visits / mo | 10.28M | 230.88K |
| User Rating | 4.3 | 4.7 |
| Supported Platforms | Website | Website |
Git hosting and CI/CD for teams that live in Jira
Host unlimited private or public repositories with branch permissions, merge checks and inline code review.
Run CI/CD in the cloud or on private runners with pipeline configuration, deployment environments and centralized visibility.
Link commits, branches and pull requests to Jira issues to trace every change from requirement to production.
Atlassian's AI agents assist with code review, pipeline triage, onboarding to a codebase and converting Jira items into code.
Track, evaluate, and ship AI models and agents in one connected environment.
Log metrics, losses, and media from training runs and compare them side by side in interactive charts to spot what actually improves your model.
Run automated hyperparameter sweeps and visualize parameter importance so you can converge on better configurations faster.
Version datasets and model artifacts, track lineage, and promote models through a registry from training to production.
Build, log, and evaluate LLM prompts and applications, with tracing and evaluation tools grouped under an LLMOps workflow.
Free / Open-sourceRun and build with open AI models locally or in the cloud
Free / Open-sourceRun and build with open AI models locally or in the cloud
Fast Apply and agent-tuned inference for coding agents
Fast Apply and agent-tuned inference for coding agents
SpecialistAI DevOps engineer that deploys and scales your apps
SpecialistAI DevOps engineer that deploys and scales your apps
Free / Open-sourceProvides deep production LLM observability and tracing, focusing heavily on debugging production failures and drift.
Free / Open-sourceProvides deep production LLM observability and tracing, focusing heavily on debugging production failures and drift.
Self-hosted cloud development environments and AI coding agents for enterprise teams
SpecialistFeatures simulation and guardrail tools for testing LLM safety and robustness before production deployment.
SpecialistFeatures simulation and guardrail tools for testing LLM safety and robustness before production deployment.
Free / Open-sourceOffers robust LLM evaluation and testing suites with integrated enterprise gateways, prioritizing prompt benchmarking.
Free / Open-sourceOffers robust LLM evaluation and testing suites with integrated enterprise gateways, prioritizing prompt benchmarking.
Focuses specifically on prompt versioning, collaborative CMS management, and agent tracing rather than general MLOps.
Focuses specifically on prompt versioning, collaborative CMS management, and agent tracing rather than general MLOps.
Specializes in automated LLM unit testing and security red-teaming, though less focused on traditional MLOps experiment tracking.
Specializes in automated LLM unit testing and security red-teaming, though less focused on traditional MLOps experiment tracking.
Agent-native cloud infrastructure that lets coding agents run the whole backend stack
Cloud Linux VMs built for developers and their AI agents
Cloud Linux VMs built for developers and their AI agents
Free / Open-sourceProvides an open-source workspace specifically for prompt experimentation, LLM evaluation, and agent deployment pipelines.
Free / Open-sourceProvides an open-source workspace specifically for prompt experimentation, LLM evaluation, and agent deployment pipelines.
