Navigara vs Allstacks: Engineering Visibility Compared
Allstacks is built to tell you what is about to go wrong. Its agents “surface risks weeks before a potential delay, and trace root causes across teams,” and forecast completion dates. Navigara is built to tell you what already happened, scored: throughput against the same team’s pre-AI year. Forecasting and measurement look adjacent on a feature grid and get bought for different reasons. One protects a commitment. The other settles an argument about spend.
What Allstacks measures
Allstacks connects “thirty-plus tools across the PDLC and SDLC” and “normalizes and enriches your complete historical data set.” On top of that data sit agents. They catch delivery risk, forecast completion dates, flag capacity risks, run scenarios, recommend next steps, and create tickets. Allstacks claims “130+ metrics natively,” with DORA, SPACE, and Flow frameworks covered.
Three product lines are published. Software Engineering Intelligence is the delivery platform. Product Studio is for requirements work, where “adversarial AI reviewers score your plan for readiness” before development starts. Software Cost Capitalization produces audit-ready R&D allocation reporting and is sold standalone or bundled.
On AI coding tools, Allstacks correlates “AI tool adoption to key performance metrics such as cycle time, defect rates, and throughput across teams,” and its homepage describes measuring “whether AI is adding velocity or rework.” That puts it closer to Navigara’s question than the forecasting pitch suggests.
On individuals, Allstacks says it avoids judging developers on “raw activity counts.”
Pricing is now published, per contributor per year. Software Engineering Intelligence is $400 on Growth (up to 500 contributors) and $600 on Enterprise (unlimited, minimum 100). Software Cost Capitalization is $200 on its own. A contributor is “any team member with at least one tool connected to Allstacks.” Product Studio is free for a limited time. For comparison with monthly per-developer pricing, $400 a year works out to about $33 a month.
What Navigara measures
Navigara reads the repository and scores each merged change.
Engineering Throughput Value (ETV) sorts each merged commit into one of five categories (features, maintenance, tests, docs, and fixes) and sums them with equal weights. A forecast model can be accurate about when work will land and say nothing about what the landed work was.
The comparison point is the team’s own history. Navigara “reads back through years of commits” and reports the current quarter against the pre-AI year. The Measure tier includes per-developer and per-team breakdowns, and the docs say individual scores “should not be read as a complete performance picture when supporting roles are present.” The Pro tier adds “AI ROI: capacity added vs. spend” and “CapEx / OpEx reporting, audit-defensible.”
Allstacks’s breadth sits in planning and forecasting. Navigara’s reports start from the scored commit.
Side by side
| Allstacks | Navigara | |
|---|---|---|
| Primary data | 30+ tools across the PDLC and SDLC | Git repository history |
| Headline capability | Delivery risk detection and completion forecasts, 130+ native metrics | ETV against the team’s own pre-AI year |
| Time orientation | Forward: what is about to slip | Backward: what shipped, scored |
| Frameworks | DORA, SPACE, Flow | ETV, a composite of five work categories |
| AI tooling view | Adoption correlated with cycle time, defect rates, and throughput | AI ROI: capacity added vs. spend (Pro) |
| R&D capitalization | Yes, standalone at $200 per contributor per year or bundled | CapEx / OpEx reporting, audit-defensible (Pro) |
| Published pricing | $400 (Growth) and $600 (Enterprise, minimum 100) per contributor per year | Explore free for 14 days. Measure $7 per developer per month (teams up to 30). Pro $30. AI ROI report $4,500 one-off |
Where the two overlap
Both read the same raw material and both report at team level. Both sell capitalization. Both set AI tool usage against delivery history. Both are bought by a leader who needs to say something credible to people outside engineering.
The overlap narrows after that. Risk forecasting needs planning data to know what was committed. A baseline comparison needs only the commit history to know what shipped.
If the AI ROI question is the one on your desk this quarter, connect a repository, and Navigara reads back to your pre-AI year.
Which one fits your org
Allstacks fits a mid-market or enterprise org with several teams, a complex toolchain, and a delivery-date problem that costs real money when it goes wrong. If your recurring pain is being blindsided by a slip, a forecasting platform is built for exactly that.
Navigara fits an org of roughly 20 to 100 engineers that needs one defensible number on whether AI tooling has changed throughput. The repository is the only required input, so tracker discipline is not a prerequisite. The Measure tier starts at $7 per developer per month for teams up to 30.
What neither one sees
Navigara scores “only merged commits on connected repositories,” so code review, incident response, mentorship, and planning sit outside the score. A forecast carries the mirror-image limit: it can predict the delivery date of a roadmap that was wrong when it was written.
Talk to us if you want the baseline comparison run against your own history.
Frequently asked questions
- Is Navigara an Allstacks alternative?
- For the AI ROI and throughput-baseline question, yes. For delivery forecasting, risk agents and requirements work, no. Both sell capitalization, so compare how each one builds the audit trail.
- Does Allstacks measure the ROI of AI coding tools?
- It correlates AI tool adoption with delivery metrics, such as cycle time, defect rates, and throughput, on a team-by-team basis. Navigara sets AI spend against capacity added since the pre-AI year.
- How much does Allstacks cost?
- $400 per contributor per year on Growth, up to 500 contributors, and $600 per contributor per year on Enterprise, with a 100-contributor minimum. Capitalization is $200 per contributor per year standalone. Check how many people count as contributors once your tools are connected.
- Can we run both?
- Yes. They read the same repositories for different purposes, and there is no shared metric to reconcile. Forecasting protects the date; the baseline settles the spend question.
- Which one needs less setup?
- Navigara needs repository access. A graph across a full SDLC stack of 30+ tools takes longer to wire up and does considerably more once it is wired.
