Total Products under this Category: 120
Last updated: October 20, 2026
Why You Can Trust G2's Software Rankings:
G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.
Highlighted products: DX, Jellyfish, Harness Platform, ServiceNow DevOps, SonarQube, Swarmia, Waydev, and Oobeya.
Underlying data: [Grid® JSON](https://www.g2.com/categories/software-development-analytics-tools/grids.json?focus%5B%5D=dx-platform&focus%5B%5D=jellyfish-2025-10-22&focus%5B%5D=harness-platform&focus%5B%5D=servicenow-devops&focus%5B%5D=sonarqube&focus%5B%5D=swarmia&focus%5B%5D=waydev&focus%5B%5D=oobeya)
SourceLevel is a SaaS product that helps developers, managers, CTOs, and all companies with visibility on their development flow by using metrics and providing automated code review. It's Analytics for software development. Stop the guesswork, and start making data-based decisions.
Stackin analytics gives you a comprehensive point from which you can monitor development cycles and derive valuable insights to boost your team performance.
Connect G2 to Claude or ChatGPT for answers grounded in G2's trusted reviews, comparisons, and pricing from real user insights.
Tempo is a Jira-native software company serving 30,000+ customers worldwide, with a product portfolio spanning strategic portfolio management, time tracking, capacity planning, and financial reporting for teams that run their work through Atlassian. Workforce Intelligence (WFI) is Tempo's newest product: the first Atlassian Marketplace app that connects AI tool activity directly to Jira work items, epics, and initiatives. Most engineering organizations have adopted AI coding tools, but few can say with confidence what that spend actually delivered. WFI provides that visibility by connecting to GitHub, Claude, and ChatGPT, matching AI activity to development work and attributing spend to the specific Jira epics and issues it supported – down to the individual issue – along with team or department summaries. Unlike solutions that attribute cost to delivered code, WFI ties AI vendor spend directly to teams, epics, and issues, giving CTOs, CFOs, and VPs of Engineering a real, verified picture of AI ROI instead of guesswork. Spend that can't be matched to a work item is shown as unattributed rather than force-fit, keeping the data honest about what's traceable. Connecting takes minutes, with 90 days of historical attribution visible within 24 hours. Teams get a single view of AI spend with month-over-month trend tracking for budgeting, cost and cycle-time visibility tied to specific epics and initiatives, and adoption/efficiency data by engineer – so leaders can see where AI tools are paying off. It requires no manual tagging and no workflow changes, connecting at the organization level through provider APIs, and integrates natively with Tempo Timesheets for a combined human-and-AI cost picture. An OpenAI connector is planned ahead of general availability, alongside GitHub and Anthropic support at launch.
tested.dev is pull request coverage and analytics software that enforces testing standards and tracks code quality metrics within the development workflow. The platform uses enforceable coverage gates to block pull request merges when thresholds are unmet. It analyzes patch-level coverage, project-wide metrics, test flakiness, and test suite execution times, presenting this data directly on pull requests for immediate feedback. The software integrates with continuous integration systems through a command-line interface, model context protocol, and GitHub Actions. Configurable thresholds can be set globally or for specific file paths using glob patterns. tested.dev identifies flaky tests and highlights slow tests while supporting agent-based workflows with JSON outputs and exit codes to fail checks when necessary. A project dashboard offers historical tracking and detailed reporting to monitor coverage trends over time.
Upside is a workflow analytics platform for teams who believe in continuous improvement. Rooted in data science and machine learning, Upside helps teams find simple ways to get better and more satisfied in their working lives. Upside combines charts, diagnosis, and actionability into a sole product with one simple goal - to help your people achieve their potential and maximize their engagement. So, you can all stay focused on helping your customers. Whether you run 50 teams or just 1, you can understand which teams and their people are thriving and which need some support at a ten-second glance.
Vereda is an engineering team analytics platform that gives VPs and engineering managers visibility into burnout, blockers, and performance across every team — without adding more meetings. Start with free async standups in Slack for unlimited team members. VERA, our AI assistant, automatically detects repeated blockers, sentiment shifts, and stalled goals, then reaches out to engineers via Slack DM with focused follow-up questions. Managers see the insights without micromanaging. Vereda continuously collects performance evidence from standups, check-ins, and integrations with Jira, GitHub, and Linear — so when review time comes, you have 6 months of real data instead of relying on memory. Key capabilities: Free async standups in Slack for unlimited users AI-powered burnout and flight risk detection Proactive micro check-ins via Slack DM 1:1 meeting prep with data-backed talking points Performance review drafts with continuous evidence 9-box talent grid for cross-team calibration Engineering pulse surveys Goal tracking tied to daily work Built for engineering teams, not HR. Set up in under 5 minutes.
Save 220+ hours per month on your feedback collection, analysis, feedback-to-task creation, roadmap and changelog process, powered by AI. Build what your users love and are willing to pay for.
Weave is an engineering intelligence platform built for the AI era, giving engineering leaders an accurate, objective way to measure the output of both software engineers and AI agents. Instead of counting lines of code, commits, or story points, Weave uses LLMs and domain-specific machine learning to normalize every pull request into a standardized unit of work calibrated to expert benchmarks. That makes engineering output comparable across individuals, teams, languages, and organizations. As AI coding tools reshape software development, Weave answers the questions traditional developer productivity tools can't: How much of our code is written by AI versus humans? Is AI adoption actually making us ship faster? What's the real ROI of our spend on Cursor, Claude Code, GitHub Copilot, Devin, and other AI tools? Weave attributes every contribution to its source, whether human, AI-assisted, or autonomous agent, and connects AI usage to shipped output, code quality, and cost. The platform brings engineering analytics, AI measurement, and reporting into one workspace. Code Output measures normalized productivity by team or engineer. AI Insights and AI Usage track AI adoption, tool effectiveness, and the percentage of code generated by AI. AI Health distills your entire AI investment into a single 0-100 AI Efficiency Index. Agent Observability monitors autonomous coding agents alongside human engineers. DORA & Benchmarks delivers deployment frequency, lead time, MTTR, and deploy success rate with industry benchmarks drawn from real data across thousands of engineering organizations. Dev FinOps automates R&D capitalization reporting for finance teams, and Wooly, Weave's AI engineering agent, lets anyone ask questions about their org's velocity, quality, or AI adoption and get answers grounded in real engineering data. Weave connects the tools you already use, including GitHub, Jira, Linear, AI coding assistants, and communication platforms, and unifies every signal under one graph. Teams are typically live the same day, with executive-ready reports within weeks. More than 500 organizations, from seed-stage startups to Fortune 100 enterprises, trust Weave to measure engineering productivity, prove AI ROI, and guide engineering investment. The platform has analyzed over 2,000,000 pull requests across 20,000+ engineers. Weave is SOC 2 Type II certified and GDPR and HIPAA compliant, with SSO, SCIM provisioning, and role-based access control for enterprise deployments. Whether you're an engineering manager coaching a team, a VP reporting to the board, or a CTO deciding where AI investment goes next, Weave replaces guesswork with signal. Start free, or connect your repos and see your first insights in minutes.
Octolense is a GitHub operations platform for engineering teams that manage work across multiple repositories. GitHub is built around individual repositories, but most engineering teams work across dozens. Pull requests pile up, reviews go stale, CI failures get missed, and Actions costs grow unnoticed. Octolense provides a centralized view of all GitHub activity so teams can triage PRs, unblock reviews, monitor pipelines, and control spend, without leaving their existing GitHub workflows. Teams connect their GitHub organization in under 60 seconds with no code changes, no configuration files, and no CI plugins required. Key capabilities: PR Management: Automatically sorts pull requests into actionable zones: Merge Ready, Needs Fix, Waiting on Others, and Draft, across all repositories in a single view. Review Prioritization: Surfaces who owes reviews, flags overdue PRs, and identifies bottlenecks before they delay delivery. CI Intelligence: Detects failures, flaky pipelines, and attention items the moment they appear, before they block downstream work. Cost Control: Tracks GitHub Actions spend per workflow, projects costs against budgets, surfaces optimization recommendations, and includes a billing simulator for modeling changes before implementing them. Best suited for: Engineering teams, tech leads, and engineering managers at companies of 5 to 200+ people who use GitHub as their primary development platform and need cross-repository visibility into PR health, CI status, and Actions spend. Octolense is free for personal views, pay per seat to unlock team wide views and cost insights.
