Chartt vs Kiln
Chartt
chartt.ioKiln
kiln.techSide by side
| Figure | Chartt | Kiln |
|---|---|---|
| Price from | $7/mo | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 4 | 3 |
| Spec score · AI Data Analysis Tools | 8.8 (#1) | 7.8 (#13) |
| 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. |
| Support | The terms direct users with service questions to a contact form and list Simply Tech Solutions LLC as the operating company. | The Individual plan includes community support, Team includes email support, and Enterprise includes SLA and priority support. |
Plans
In their own words
Chartt
Chartt is a web-based AI analyst for CSV, Excel, and plain-text files. Upload a file and ask questions in plain language; Chartt infers column types, units, and date ranges, then selects charts, tables, sparklines, or breakdowns to present answers with numbers and explanations. Chart cards can be pinned to dashboards that refresh when source files change. The service also surfaces spikes, dips, and unexpected segments with summaries, and shared chart, chat, or dashboard links can point readers back to source rows or files.
Chartt offers a free plan with 100 credits per month, one data source, files under 100 MB, and 30-day chat history. Paid plans start at $7 a month, billed annually at $84/year. The maker says files and database contents are encrypted at rest, data is encrypted in transit, and customer data is not used to train AI models; relevant uploads may be sent to OpenAI and Google Gemini for analysis. Queries pause when credits run out until the next billing cycle or plan upgrade.
Kiln
Kiln is an AI workbench for teams building and improving AI systems, with evaluation, fine-tuning, and optimization tools. Users can describe an evaluation goal and generate prompts and synthetic datasets, then compare judge results with human ratings. Kiln supports composing agents and subagents, inspecting tool calls, and evaluating each level of an agent hierarchy. It supports MCP servers and providers including AWS Bedrock, Azure OpenAI, Vertex AI, OpenAI, Anthropic, Fireworks, Gemini, Ollama, and OpenAI-compatible endpoints. Datasets, traces, and evaluations sync to Git. Prompts, outputs, ratings, and fine-tuning jobs are stored as JSON files on the user's filesystem, while provider API calls go directly from the user's machine to the chosen provider. Kiln says it can run fully offline with Ollama, vLLM, Llama.cpp, or another compatible local server. The free Individual plan includes a Python library, source-available desktop app, Git-synced local datasets, rate-limited standard models, and community support.