Bonnard vs Chart Library: Which is Better in 2026?
A comprehensive comparison of Bonnard and Chart Library covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Bonnard if:
- →You need per-tenant isolation and role-scoped access built in — unlimited tenants on every plan or oauth 2.1 and idp integration with workos, clerk or okta
Choose Chart Library if:
- →You want more affordable paid plans (from $15.83/mo)
- →You need a broader feature set (8 features vs 6)
- →You need 25m+ indexed patterns across 19,000 symbols and 10 years or outcome-mode split with sample counts, median forward returns, and up-rates
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Bonnard vs Chart Library: At a Glance
Pricing Comparison: Bonnard vs Chart Library
Understanding the pricing differences between Bonnard and Chart Library is crucial for making the right choice. Here's how their plans compare side by side.
Bonnard Pricing
Chart Library Pricing
💡 Pricing takeaway: Both Bonnard and Chart Library 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 Bonnard and Chart Library stacks up.
What Makes Each Tool Unique
🔵 Unique to Bonnard
Features available in Bonnard but not in Chart Library:
- ✓Per-tenant isolation and role-scoped access built in — unlimited tenants on every plan
- ✓OAuth 2.1 and IdP integration with WorkOS, Clerk or Okta
- ✓Connects to dbt, Cube, dbt Semantic Layer, AtScale, LookML or raw warehouse SQL
- ✓Interactive charts generated from the agent's actual query, not a static render
- ✓Agent-friendly tooling: row caps, type hints, structured error responses
- ✓Open-source charting layer usable with any MCP server
🟣 Unique to Chart Library
Features available in Chart Library but not in Bonnard:
- ✓25M+ indexed patterns across 19,000 symbols and 10 years
- ✓Outcome-mode split with sample counts, median forward returns, and up-rates
- ✓Held-out coverage receipt: 80.8% against a nominal 80% band over 310,592 audited cases
- ✓PIT / rank histogram published, flat to within 0.5pp across 311K+ cases
- ✓Hosted MCP endpoint requiring no account, plus a local pip-installable MCP server
- ✓Canonical agent loop: search → pull_comps → introspect → track_record
- ✓/llms.txt published for model consumption
- ✓Daily rebuild with 1-hour bars and configurable forward windows
Use Case Recommendations
Best for: Bonnard
Bonnard is a platform for shipping customer-facing MCP servers over your own data, which is a narrower and harder problem than building an internal one. An internal MCP server can trust its single caller; a customer-facing one has to isolate each tenant, scope access by role, integrate with whatever identity provider the customer runs, and survive being pointed at by an agent that will happily ask for a million rows. Bonnard supplies that layer pre-built: OAuth 2.1, IdP integration with WorkOS, Clerk or Okta, per-tenant isolation, role-scoped access, observability and rate limiting, on top of SQL querying and semantic-layer querying. It connects to dbt, Cube, the dbt Semantic Layer, AtScale or LookML if you have a semantic layer, and to raw warehouse SQL if you do not. The part that distinguishes it from a plain endpoint is what happens around the answer: interactive charts generated from the agent's actual query rather than a static image, with row caps, type hints and helpful error responses designed for how agents behave when they get something wrong. Dashboard presets and bundled skills ship with it, and the charting layer is released as open source usable against any MCP server. The result is a full BI experience inside Claude or ChatGPT.
Ideal use cases:
- •Teams or individuals who need per-tenant isolation and role-scoped access built in — unlimited tenants on every plan
- •Teams or individuals who need oauth 2.1 and idp integration with workos, clerk or okta
- •Teams or individuals who need connects to dbt, cube, dbt semantic layer, atscale, lookml or raw warehouse sql
- •Teams or individuals who need interactive charts generated from the agent's actual query, not a static render
- •Anyone focused on mcp workflows
- •Anyone focused on business-intelligence workflows
Best for: Chart Library
Chart Library is a historical-analog retrieval engine for markets, exposed to both humans and AI agents. Anchor a symbol, date, and timeframe, and it returns comparable historical situations from an index of more than 25 million patterns spanning ten years and 19,000 symbols — then shows what actually happened next in each, split into outcome modes such as clean continuation, choppy uptrend, sideways drift, and failed breakout, with sample counts, median forward returns, and up-rates per mode. The framing is deliberately empirical rather than predictive: it reports the distribution of what analogs did, not a forecast. What makes it credible for agent use is the auditability. The vendor publishes trust receipts, including a held-out coverage figure of 80.8% against a nominal 80% forward-return band across 310,592 audited cases, and a PIT/rank histogram that stays flat across 311,000+ cases with a maximum deviation of 0.5 percentage points — meaning realized outcomes landed where the served distributions said they would along the whole shape, not just at one band. For agent builders, there is a hosted MCP endpoint that needs no account, plus a pip-installable local MCP server, and a canonical loop of search, pull_comps, introspect, and track_record. An /llms.txt file is published for model consumption. The intent is to give a trading agent base rates and auditable evidence instead of another opinion.
Ideal use cases:
- •Teams or individuals who need 25m+ indexed patterns across 19,000 symbols and 10 years
- •Teams or individuals who need outcome-mode split with sample counts, median forward returns, and up-rates
- •Teams or individuals who need held-out coverage receipt: 80.8% against a nominal 80% band over 310,592 audited cases
- •Teams or individuals who need pit / rank histogram published, flat to within 0.5pp across 311k+ cases
- •Anyone focused on finance workflows
- •Anyone focused on mcp workflows
📊 Other Data & Analytics Tools to Consider
Bonnard and Chart Library aren't the only options. Here are other popular tools in the same space:
Databricks AI
Enterprise AI and data lakehouse platform
Akkio
No-code predictive AI for business analysts
Hex
Data workspace with AI analysis and apps
MindsDB
AI layer for databases with SQL ML
Obviously AI
No-code ML platform for predictions
Julius AI
Chat with your data for instant analysis
Is one of these your tool?
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Frequently Asked Questions
Is Bonnard better than Chart Library?
It depends on your needs. Bonnard offers 6 key features including Per-tenant isolation and role-scoped access built in — unlimited tenants on every plan and OAuth 2.1 and IdP integration with WorkOS, Clerk or Okta, while Chart Library provides 8 features including 25M+ indexed patterns across 19,000 symbols and 10 years and Outcome-mode split with sample counts, median forward returns, and up-rates. Bonnard uses a paid model with a free tier, while Chart Library is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is Bonnard cheaper than Chart Library?
Chart Library is cheaper, starting at $15.83/month compared to Bonnard's $149/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 Bonnard and Chart Library together?
Yes, many users combine Bonnard and Chart Library in their workflow. Bonnard excels at per-tenant isolation and role-scoped access built in — unlimited tenants on every plan, while Chart Library shines with 25m+ indexed patterns across 19,000 symbols and 10 years. 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 Bonnard and Chart Library?
While both are data & analytics tools, Bonnard emphasizes per-tenant isolation and role-scoped access built in — unlimited tenants on every plan, whereas Chart Library is known for 25m+ indexed patterns across 19,000 symbols and 10 years. The best choice depends on your specific workflow and feature priorities.
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