Software Development Analytics Tools Resources
Glossary Terms, Discussions, and Reports to expand your knowledge on Software Development Analytics Tools
Resource pages are designed to give you a cross-section of information we have on specific categories. You'll find feature definitions, discussions from users like you, and reports from industry data.
Software Development Analytics Tools Glossary Terms
Static code analytics review code for errors or vulnerabilities while the code isn't running. Learn about implementing static code analysis in business.
Explore our Technology Glossary
Browse through dozens of terms to better understand the products you purchase and use everyday.
Software Development Analytics Tools Discussions
How efficient and reliable is Waydev software? Is it something i should trust?
I’m looking into this on behalf of a few small and mid-sized engineering teams that want development analytics without heavy enterprise pricing. To narrow options, I reviewed G2 rankings in the Software Development Analytics Tools category to see which platforms SMBs commonly adopt. Posting this here in case it helps others balancing cost and insight.
Here are the top tools:
- Jellyfish — Best for SMBs planning to scale engineering analytics over time.
- DX — Best for SMBs focused on developer experience and productivity.
- Oobeya — Best for SMBs needing visual analytics without heavy setup.
- ServiceNow DevOps — Best for SMBs already invested in ServiceNow tooling.
- Swarmia — Best for cost-conscious teams wanting simple dev analytics.
If you’re an SMB using any of these, how does pricing compare to the value you’re getting?
Did you choose your tool based more on price or ease of adoption?
Hello all,
I’m researching on behalf of a few engineering productivity teams that want clearer visibility into how code quality changes over time. To get a grounded shortlist, I reviewed G2 data in the Software Development Analytics Tools category to see which platforms consistently rank highest. Sharing this here so it’s useful for anyone evaluating similar tools — and curious to hear real-world feedback.
Here are the top tools:
- Jellyfish — Best for tracking long-term code quality trends alongside delivery metrics.
- DX — Best for connecting code quality signals to developer experience.
- Oobeya — Best for visualizing code health in the context of delivery performance.
- ServiceNow DevOps — Best for analyzing code quality trends within enterprise DevOps workflows.
- Swarmia — Best for lightweight insights into code quality and engineering activity.
Anyone using one of these to analyze code quality trends? What’s been your experience?
Do code quality metrics actually influence decisions, or just show up in reports?
