BurnRate vs Repohistory: Which is Better in 2026?
A comprehensive comparison of BurnRate and Repohistory covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose BurnRate if:
- →You need a broader feature set (7 features vs 6)
- →You need per-subagent cost attribution for agents that spawn other agents or coverage across seven ai providers
Choose Repohistory if:
- →You want more affordable paid plans (from $7.5/mo)
- →You need retains github traffic data past the 14-day window github deletes at or views, unique visitors and clone history charted over the long run
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BurnRate vs Repohistory: At a Glance
Pricing Comparison: BurnRate vs Repohistory
Understanding the pricing differences between BurnRate and Repohistory is crucial for making the right choice. Here's how their plans compare side by side.
BurnRate Pricing
💡 Pricing takeaway: Both BurnRate and Repohistory offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from BurnRate and Repohistory stacks up.
What Makes Each Tool Unique
🔵 Unique to BurnRate
Features available in BurnRate but not in Repohistory:
- ✓Per-subagent cost attribution for agents that spawn other agents
- ✓Coverage across seven AI providers
- ✓Local-first download rather than a hosted telemetry pipeline
- ✓Nine analytics tabs on Pro, three on Free
- ✓Optimisation engine with more than twenty rules
- ✓Model recommendations and operation-level cost breakdown
- ✓Team-wide cost management on the Team tier
🟣 Unique to Repohistory
Features available in Repohistory but not in BurnRate:
- ✓Retains GitHub traffic data past the 14-day window GitHub deletes at
- ✓Views, unique visitors and clone history charted over the long run
- ✓User- and organization-wide traffic overview on Pro
- ✓Data export for your own analysis
- ✓Free tier includes the full feature set for one repository
- ✓Value compounds from the day you connect — history cannot be backfilled
Use Case Recommendations
Best for: BurnRate
BurnRate is cost observability for AI coding tools, and its specific insight is subagent visibility. When Claude Code or a similar agent spawns subagents, the spend fragments across processes that no provider dashboard attributes back to the task that caused them — BurnRate surfaces every subagent that gets spawned and tracks per-agent cost across seven providers. That is a genuinely different measurement problem from generic LLM cost tracking, and it is the number engineering managers cannot currently get. The tool is local-first: you download and run it, and the free tier works without a credit card, which matters because the alternative is piping your development telemetry to a third party. The free plan gives a basic analytics dashboard with overview, sessions and costs tabs, support for three providers and 30 days of history — enough to see whether your spend has the shape you assumed. Pro unlocks the full analytics surface of nine tabs plus an optimisation engine with more than twenty rules, model recommendations and operation-level cost breakdown, at a price the company frames against an average saving of $50-plus a month. Team and Enterprise tiers extend to team-wide cost management. Around the product sits a content operation — a 2026 cost report, a five-day email course on cutting AI costs, a blog and an AI spend audit consulting offer — which suggests the company is monetising the expertise as well as the tool.
Ideal use cases:
- •Teams or individuals who need per-subagent cost attribution for agents that spawn other agents
- •Teams or individuals who need coverage across seven ai providers
- •Teams or individuals who need local-first download rather than a hosted telemetry pipeline
- •Teams or individuals who need nine analytics tabs on pro, three on free
- •Anyone focused on cost-tracking workflows
- •Anyone focused on observability workflows
Best for: Repohistory
Repohistory exists because of a single GitHub limitation: the traffic insights GitHub shows for a repository — views, unique visitors, clones, referring sites and popular content — are retained for only fourteen days and then discarded permanently. For an open-source maintainer that makes it impossible to answer the questions that actually matter, such as whether a release drove sustained traffic, whether a Hacker News mention had any tail, or whether clone volume has grown year over year. Repohistory connects to a repository and stores that traffic data continuously so the history keeps accumulating past the fourteen-day window, then presents it as charted analytics with data export. Because it is retention rather than measurement, the value compounds the earlier you start — data not captured during the GitHub window is gone and cannot be backfilled, which is an unusual property for an analytics tool and the strongest argument for adopting it before you need it. The paid tier adds a user or organization level traffic overview across every repository rather than one at a time, which is the view a maintainer with a portfolio of projects actually wants. The free tier tracks a single repository with the full feature set, including the extended history and export, so the paid upgrade is purely about repository count.
Ideal use cases:
- •Teams or individuals who need retains github traffic data past the 14-day window github deletes at
- •Teams or individuals who need views, unique visitors and clone history charted over the long run
- •Teams or individuals who need user- and organization-wide traffic overview on pro
- •Teams or individuals who need data export for your own analysis
- •Anyone focused on github workflows
- •Anyone focused on open-source workflows
📊 Other Analytics & BI Tools to Consider
BurnRate and Repohistory aren't the only options. Here are other popular tools in the same space:
Amplitude
Product analytics platform with AI insights, funnels & retention analysis for PLG teams
Mixpanel
Event-based product analytics with AI insights and self-serve exploration
Chartsy
Chat-driven MRR, churn, and LTV analytics on top of your Stripe or Paddle data
Fusionaly
Self-hosted, ad-block-proof web analytics in one SQLite file and one Docker container, with a plain-language daily digest and optional natural-language querying via your own key.
Trifle
Time-series product metrics that write into your existing database, with an MCP surface for AI agents
Porter
Per-data-source marketing reporting into Looker Studio, Sheets, Power BI and BigQuery
Is one of these your tool?
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Frequently Asked Questions
Is BurnRate better than Repohistory?
It depends on your needs. BurnRate offers 7 key features including Per-subagent cost attribution for agents that spawn other agents and Coverage across seven AI providers, while Repohistory provides 6 features including Retains GitHub traffic data past the 14-day window GitHub deletes at and Views, unique visitors and clone history charted over the long run. BurnRate uses a freemium model with a free tier, while Repohistory is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is BurnRate cheaper than Repohistory?
Repohistory is cheaper, starting at $7.50/month compared to BurnRate's $12/month. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use BurnRate and Repohistory together?
Yes, many users combine BurnRate and Repohistory in their workflow. BurnRate excels at per-subagent cost attribution for agents that spawn other agents, while Repohistory shines with retains github traffic data past the 14-day window github deletes at. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between BurnRate and Repohistory?
While both are analytics & bi tools, BurnRate emphasizes per-subagent cost attribution for agents that spawn other agents, whereas Repohistory is known for retains github traffic data past the 14-day window github deletes at. The best choice depends on your specific workflow and feature priorities.
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