
Chartt
7.3#4 in ai data analysis toolsFrom $7 a monthFree planWeb
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| Fact | Chartt | Kiln |
|---|---|---|
| Integrations | The privacy policy names Vercel, AWS, Neon, Clerk, OpenAI, and Google Gemini as service providers; the site does not describe these as user-facing integrations. | Kiln supports MCP servers and lists providers including AWS Bedrock, Azure OpenAI, Vertex AI, OpenAI, Anthropic, Fireworks, Gemini, Ollama, and OpenAI-compatible endpoints. |
| Intended users | The maker presents Chartt for analysts, operations leads, and founders who want spreadsheet answers without SQL, pivot tables, or maintained BI dashboards. | Kiln describes its audience as engineers, data scientists, product managers, QA, and subject matter experts working on AI systems. |
| Product | Chartt describes itself as an AI analyst for CSV and Excel files that answers plain-language questions with charts, numbers, and explanations. | Kiln describes itself as an AI workbench for teams to build and optimize AI systems, including evals, fine-tuning, and optimization. |
| Security | The maker says stored files and database contents are encrypted at rest, data is encrypted in transit, employee access is limited, and dependencies receive regular audits and security updates. | Kiln says its Python library is MIT-licensed and its source-available desktop app has public CI builds and checksums for every release. |
Chartt is aimed at analysts, operations leads, and founders who want spreadsheet answers without SQL, pivot tables, or maintained BI dashboards. Its free plan may suit users with modest query needs and files under 100 MB.
Kiln suits teams building AI applications that need repeatable evaluation, agent inspection, fine-tuning, and optimization. It also fits organizations wanting local JSON data, Git synchronization, provider choice, or offline operation.