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Kutateladze","email":"admin@updog.tech"},"license":"SEE LICENSE IN LICENSE","homepage":"https://updog.tech","keywords":["csv-importer","csv-import","importer","data-import","data-import-sdk","column-mapping","spreadsheet","spreadsheet-editor","react","react-csv","react-csv-importer","client-side","data-editor","csv","xlsx","excel","grid","table","validation","flatfile-alternative","dromo-alternative","usecsv-alternative"],"description":"Client-side CSV and Excel importer and spreadsheet editor for React. Import CSV, Excel, JSON, TSV, and XML, match columns, validate, and edit 1M+ rows entirely in the browser.","maintainers":[{"name":"updog-admin","email":"admin@updog.tech"}],"readme":"# CSV and Excel data importer for React apps\n\n> `@updog/data-editor`: client-side CSV and Excel data importer for React apps. Your users import files, match columns to your schema, fix errors inline, and submit clean data. Everything runs in the browser, at 1M+ rows.\n\n## What is @updog/data-editor\n\n@updog/data-editor is the React SDK for Updog Importer, a commercial product that embeds a complete data import flow into your application. It is not related to Datadog's Updog dashboard or the sc0tfree/updog HTTP server.\n\n- **Import** CSV, Excel (XLSX), TSV, JSON, and XML — column auto-matching, value mapping, multi-source merging, validation\n- **Edit** 1M+ rows with undo/redo, find & replace, copy/paste, fill handle, sorting, filtering, and bulk transforms\n- **Submit** clean data through a single onComplete callback, classified into insert / update / delete\n\nEverything runs client-side. Files are parsed, validated, and edited in the user's browser — no upload server, no data residency, no DPA required.\n\n> **Not on React?** The same SDK ships as a framework-agnostic Web Component — [`@updog/data-editor-wc`](https://www.npmjs.com/package/@updog/data-editor-wc) — for Vue, Angular, Svelte, or vanilla JS.\n\n## Requirements\n\n- React 18.x or 19.x\n- An API key — this is a **commercial SDK**. Sign up at [updog.tech](https://updog.tech) to get one.\n\n## Installation\n\n```bash\nnpm install @updog/data-editor\n```\n\n## Quick Start\n\n```tsx\nimport { useState } from \"react\";\nimport { DataEditor } from \"@updog/data-editor\";\nimport \"@updog/data-editor/styles.css\";\nimport type { DataEditorColumn } from \"@updog/data-editor\";\n\ntype Employee = {\n  id: string;\n  name: string;\n  email: string;\n  role: string;\n};\n\nconst columns: DataEditorColumn[] = [\n  {\n    id: \"name\",\n    title: \"Full Name\",\n    size: 200,\n    validators: [{ type: \"required\", message: \"Name is required\" }],\n  },\n  {\n    id: \"email\",\n    title: \"Email\",\n    size: 250,\n    validators: [\n      { type: \"required\", message: \"Email is required\" },\n      { type: \"email\", message: \"Invalid email\" },\n    ],\n  },\n  {\n    id: \"role\",\n    title: \"Role\",\n    editor: { type: \"select\", options: [\"Admin\", \"Editor\", \"Viewer\"] },\n  },\n];\n\nexport function App() {\n  const [open, setOpen] = useState(false);\n\n  return (\n    <>\n      <button onClick={() => setOpen(true)}>Open Editor</button>\n      <DataEditor<Employee>\n        apiKey=\"your-license-key\"\n        open={open}\n        onClose={() => setOpen(false)}\n        columns={columns}\n        primaryKey=\"id\"\n        loadData={async (onChunk) => {\n          const res = await fetch(\"/api/employees\");\n          onChunk(await res.json());\n        }}\n        onComplete={async (result) => {\n          for (const source of result.sources) {\n            const inserts = source.rows.filter((r) => r.isNew && !r.isDeleted && r.isValid);\n            const updates = source.rows.filter((r) => !r.isNew && r.isChanged && !r.isDeleted && r.isValid);\n            const deletes = source.rows.filter((r) => r.isDeleted && !r.isNew);\n            await persist(source.sourceId, { inserts, updates, deletes });\n          }\n          setOpen(false);\n        }}\n      />\n    </>\n  );\n}\n```\n\n## TypeScript\n\n`DataEditor` accepts a generic type parameter for row data. This gives you type-safe access to `primaryKey` and the result rows in `onComplete`.\n\n```tsx\ntype Employee = { id: string; name: string; email: string };\n\n<DataEditor<Employee>\n  primaryKey=\"id\"  // autocomplete shows \"id\" | \"name\" | \"email\"\n  // ...\n/>\n```\n\nWhen you omit the generic, rows are typed as `Record<string, unknown>`.\n\n## Inline Mode\n\nRender the editor directly in the DOM without a modal overlay:\n\n```tsx\n<DataEditor\n  mode=\"inline\"\n  apiKey=\"your-license-key\"\n  columns={columns}\n  primaryKey=\"id\"\n  loadData={loadData}\n  onComplete={onComplete}\n/>\n```\n\nIn inline mode, `open` and `onClose` don't apply.\n\n## Props\n\n| Prop | Type | Required | Default | Description |\n|---|---|---|---|---|\n| `apiKey` | `string` | Yes | — | Your Updog license key. Validated on each open. |\n| `columns` | `DataEditorColumn[]` | Yes | — | Column definitions. |\n| `primaryKey` | `keyof TRow` | Yes | — | Column ID that uniquely identifies each row. |\n| `mode` | `\"modal\"` \\| `\"inline\"` | No | `\"modal\"` | Rendering mode. |\n| `open` | `boolean` | Modal only | — | Controlled modal visibility. |\n| `onClose` | `() => void` | Modal only | — | Called when the user closes the modal (X button or Escape). |\n| `loadData` | `(onChunk) => Promise<void>` | No | — | Async data loader. Stream rows in chunks, optionally tagged by source. |\n| `onComplete` | `(result) => void \\| Promise<void>` | No | — | Called on submit. See [Submission Result](#submission-result). |\n| `variant` | `\"editor\"` \\| `\"uploader\"` | No | `\"editor\"` | Initial view. `\"uploader\"` opens the import wizard first. |\n| `translations` | `DataEditorTranslations` | No | — | Partial i18n overrides. |\n| `locale` | `string` | No | `\"en\"` | BCP 47 locale tag. |\n| `rtl` | `boolean` | No | `false` | Right-to-left layout. |\n| `readonly` | `boolean` | No | `false` | Hide all editing UI. |\n| `enableDeleteRow` | `\"all\"` \\| `\"new\"` \\| `false` | No | `false` | Row deletion policy. |\n| `enableAddRow` | `boolean` | No | `true` | Show the \"Add row\" button. |\n| `enableAddSource` | `boolean` | No | `true` | Show the \"Add data source\" button. |\n| `enableCreateColumn` | `boolean` | No | `true` | Allow creating columns for unmatched CSV headers during import. |\n| `importFormats` | `DataEditorFormat[] \\| false` | No | all | Allowed import formats. `false` or `[]` disables import. |\n| `exportFormats` | `DataEditorFormat[] \\| false` | No | all | Allowed export formats. `false` or `[]` disables export. |\n| `remoteSources` | `RemoteSource[]` | No | — | Custom import buttons (Google Sheets, S3, etc.) rendered on the upload step. |\n| `rowHeight` | `number` | No | `34` | Row height in pixels. |\n| `headerHeight` | `number` | No | `36` | Header height in pixels. |\n| `chat` | `DataEditorChat<TRow>` | No | — | Bring-your-own AI chat panel. |\n| `onColumnMatch` | `(headers, columns) => ...` | No | — | Override import column matching. |\n| `onValueMatch` | `(valuesToMatch) => ...` | No | — | Override import value matching for `select` columns. |\n| `synonyms` | `Record<string, string[]>` | No | — | Extra synonyms for column auto-matching. |\n| `sampleData` | `Record<string, unknown>[]` | No | — | Rows used in the \"Download Example\" file. |\n| `localStorage` | `false` \\| `{ licenseGrant?: boolean }` | No | `{ licenseGrant: true }` | What the SDK caches in `localStorage`. |\n| `onError` | `(error: UpdogError) => void` | No | — | Called on internal errors. Use for logging or Sentry. |\n| `className` | `string` | No | — | CSS class on the wrapper element. |\n\n## Column Configuration\n\n```tsx\nimport type { DataEditorColumn } from \"@updog/data-editor\";\n\nconst columns: DataEditorColumn[] = [\n  {\n    id: \"email\",\n    title: \"Email\",\n    size: 260,\n\n    // Declarative validators. See \"Built-in Validators\" for the full list.\n    validators: [\n      { type: \"required\", message: \"Email is required\" },\n      { type: \"email\", message: \"Enter a valid email\" },\n      // Flag duplicates in this column as errors. Always checked last.\n      { type: \"unique\" },\n    ],\n\n    // Revalidate these columns when this one changes.\n    dependentFields: [\"confirmEmail\"],\n\n    // Cell editor. Default is \"text\".\n    editor: { type: \"select\", options: [\"US\", \"UK\", \"DE\"] },\n\n    // Display-only formatting. Does not mutate stored data.\n    formatter: (value) => value.toLowerCase(),\n\n    // Runs when rows are uploaded to the editor. Mutates the stored value.\n    transformer: (value) => String(value).trim(),\n\n    // Sidebar filter control.\n    filter: { type: \"select\" },\n\n    // Allow pinning this column to the leading edge via the header menu. Default true.\n    pinnable: true,\n\n    // Lock cells in this column. `\"default\"` locks only default-source rows.\n    locked: \"default\",\n  },\n];\n```\n\n**Cell editors**: `{ type: \"text\" }` (default), `{ type: \"date\" }`, `{ type: \"select\", options: string[] }`, `{ type: \"number\", decimalSeparator?, thousandsSeparator? }`.\n\n**Column filters**: `{ type: \"select\", label?, placeholder?, options?, multiple? }`, `{ type: \"number-range\", label? }`, `{ type: \"date-range\", label? }`.\n\n## Built-in Validators\n\nValidators are declarative objects passed in the `validators` array on each column. They run on every edit, entirely in the browser.\n\n| `type` | Fields | Behavior |\n|---|---|---|\n| `\"required\"` | `message?` | Value must be non-empty. |\n| `\"email\"` | `message?` | Value must look like an email address. |\n| `\"regex\"` | `pattern`, `flags?`, `message?` | Value must match the regular expression. Empty values are skipped. |\n| `\"number\"` | `min?`, `max?`, `decimalPlaces?`, `message?` | Value must be the canonical form — plain digits, a dot for decimals, no grouping, no leading zeros. `min` and `max` are inclusive; `decimalPlaces` caps the decimal digits (`0` means integers) and flags rather than rounds. `min` and `decimalPlaces` also configure the column's number editor. |\n| `\"oneOf\"` | `values: string[]`, `message?` | Value must be one of the listed strings. |\n| `\"date\"` | `min?`, `max?`, `message?` | Value must be an ISO `YYYY-MM-DD` date that exists in the calendar. `min` and `max` are inclusive ISO bounds, and they also set the range the cell's date picker offers. |\n| `\"unique\"` | `message?` | Value must not appear in any other row of the column. Always checked last, after all other validators pass — list position is ignored. |\n\n```tsx\nconst columns: DataEditorColumn[] = [\n  { id: \"name\", title: \"Name\", validators: [{ type: \"required\", message: \"Required\" }] },\n  {\n    id: \"email\",\n    title: \"Email\",\n    validators: [\n      { type: \"required\", message: \"Required\" },\n      { type: \"email\", message: \"Invalid email\" },\n    ],\n  },\n  { id: \"salary\", title: \"Salary\", validators: [{ type: \"number\", min: 0, decimalPlaces: 2 }] },\n  {\n    id: \"status\",\n    title: \"Status\",\n    validators: [{ type: \"oneOf\", values: [\"active\", \"inactive\"], message: \"Invalid status\" }],\n  },\n  {\n    id: \"startDate\",\n    title: \"Start\",\n    validators: [{ type: \"date\", message: \"Use a valid date\" }],\n    editor: { type: \"date\" },\n    dependentFields: [\"endDate\"],\n  },\n];\n```\n\nA `ValidationError` with `level: \"error\"` flags the cell in the grid but does **not** block submission — invalid rows are delivered to `onComplete` tagged via `isValid: false`.\n\n### Custom validators\n\nFor cross-field checks or anything not covered by the built-ins, wrap a `CellValidator` function in `{ type: \"function\", fn }`. Use `dependentFields` on the column to trigger re-validation when another column changes.\n\n```tsx\nimport type { CellValidator, DataEditorColumn } from \"@updog/data-editor\";\n\nconst endAfterStart: CellValidator = (value, row) => {\n  if (!value || !row.startDate) return null;\n  if (String(value) < String(row.startDate)) {\n    return { level: \"error\", message: \"End must be on or after start\" };\n  }\n  return null;\n};\n\nconst columns: DataEditorColumn[] = [\n  {\n    id: \"endDate\",\n    title: \"End\",\n    editor: { type: \"date\" },\n    validators: [\n      { type: \"date\", message: \"Invalid date\" },\n      { type: \"function\", fn: endAfterStart },\n    ],\n  },\n];\n```\n\nThe only `level` is `\"error\"`. Return `null` to indicate the value is valid.\n\n## Data Loading\n\n`loadData` is called once when the editor opens. Call `onChunk` one or more times to stream rows. The grid renders each chunk without blocking.\n\n```tsx\n// Single source\nloadData={async (onChunk) => {\n  for (let page = 0; page < totalPages; page++) {\n    const rows = await fetch(`/api/employees?page=${page}`).then((r) => r.json());\n    onChunk(rows);\n  }\n}}\n\n// Multiple sources — each chunk tagged with a source\nloadData={async (onChunk) => {\n  onChunk(await fetchSalesforce(), { source: \"Salesforce\", done: true });\n  onChunk(await fetchHubSpot(), { source: \"HubSpot\", deletable: true, done: true });\n}}\n```\n\n`ChunkSourceOptions`: `{ source: string; id?: string; deletable?: boolean; done?: boolean }`. Sources are auto-registered on first encounter. Chunks without options go to \"Existing Data\". When `loadData` resolves, any source still loading is finalized automatically.\n\n## Submission Result\n\n`onComplete(result)` fires when the user submits. May return a promise.\n\n```ts\ntype DataEditorResult<TRow> = {\n  sources: {\n    sourceId: string;\n    sourceName: string;\n    rows: {\n      row: TRow;\n      isNew: boolean;      // imported or manually added this session\n      isChanged: boolean;  // cell values differ from origin\n      isDeleted: boolean;  // marked for deletion\n      isValid: boolean;    // passes all validators\n    }[];\n  }[];\n  counts: { new: number; changed: number; deleted: number; invalid: number };\n};\n```\n\nPristine backend rows (unchanged, not deleted, not new) are omitted from `sources[].rows` — they're no-ops. The flags are orthogonal: a row can be new, changed, and deleted at once. You own the routing rules:\n\n```tsx\nonComplete={async (result) => {\n  for (const source of result.sources) {\n    const inserts = source.rows.filter((r) => r.isNew && !r.isDeleted && r.isValid);\n    const updates = source.rows.filter((r) => !r.isNew && r.isChanged && !r.isDeleted && r.isValid);\n    const deletes = source.rows.filter((r) => r.isDeleted && !r.isNew);\n    await persist(source.sourceId, { inserts, updates, deletes });\n  }\n}}\n```\n\nIf you never tagged sources via `loadData`, you'll get one entry with `sourceId: \"backend\"`. `result.counts` is an aggregate for summary UI — route with the per-row flags, not counts.\n\n## Import Configuration\n\nThe import wizard guides users through uploading a file, mapping columns to your schema, and resolving value mismatches.\n\n### Formats\n\nSupported: `\"csv\"`, `\"tsv\"`, `\"xlsx\"`, `\"json\"`, `\"xml\"`.\n\n```tsx\n<DataEditor\n  importFormats={[\"csv\", \"xlsx\"]} // only CSV and XLSX\n  exportFormats={[]}              // disable export entirely\n/>\n```\n\n### Override column matching\n\n```tsx\nonColumnMatch={async (headers, columns) => {\n  const mappings = await myMatchingService.match(headers, columns);\n  return mappings; // { csvHeader: columnId | null }\n}}\n```\n\nReturn a map of `{ csvHeader: columnId | null }`. Entries set to `null` or omitted fall back to built-in matching.\n\n### Override value matching\n\nFor select columns, override imported-value → option mapping:\n\n```tsx\nonValueMatch={async (valuesToMatch) => {\n  // valuesToMatch = { country: { importedValues: [\"espana\", \"fr\"], options: [\"Spain\", \"France\"] } }\n  return {\n    country: { espana: \"Spain\", fr: \"France\" },\n  };\n}}\n```\n\nValues set to `null` skip auto-matching. Unmapped values fall back to built-in fuzzy matching.\n\n### Synonyms\n\nExtra aliases for the built-in column matcher:\n\n```tsx\nsynonyms={{\n  productSku: [\"sku\", \"article_no\", \"item_code\"],\n  firstName: [\"first\", \"given_name\", \"fname\"],\n}}\n```\n\n### Remote sources\n\nRender custom import buttons for third-party sources. You own auth and picker logic; the SDK renders the button and processes the result.\n\n```tsx\nconst googleSheets: RemoteSource = {\n  id: \"google-sheets\",\n  label: \"Google Sheets\",\n  icon: \"<svg>...</svg>\",\n  fetch: async () => {\n    const data = await myGoogleSheetsLib.pick();\n    return data.rows; // Record<string, unknown>[] — or return a File\n  },\n};\n\n<DataEditor remoteSources={[googleSheets]} {...rest} />\n```\n\nReturn a `File` to parse via the standard CSV/XLSX/JSON/XML pipeline, or return structured records to skip parsing.\n\n## Error Handling\n\nLog SDK-internal errors through `onError`. The SDK recovers gracefully — use this for monitoring, not recovery.\n\n```tsx\nonError={(error) => {\n  Sentry.captureException(error.originalError ?? error, {\n    tags: { code: error.code, source: error.source },\n  });\n}}\n```\n\nError codes: `PARSE_ERROR`, `RENDER_ERROR`, `TRANSFORM_ERROR`, `VALIDATION_ERROR`, `WORKER_ERROR`, `COMMAND_ERROR`, `OPERATION_ERROR`.\n\n## Non-React Usage\n\nFor Angular, Vue, Svelte, or vanilla JS use the Web Component build:\n\n```bash\nnpm install @updog/data-editor-wc\n```\n\nSee [@updog/data-editor-wc](https://www.npmjs.com/package/@updog/data-editor-wc).\n\n## FAQ\n\n**Does my user's data leave the browser?** No. Parsing, validation, mapping, and editing all run client-side. Your code controls when (and whether) data is submitted to your own backend.\n\n**Is there a row limit?** No hard cap. The grid is engineered for 1M+ rows using canvas rendering and virtual scrolling.\n\n**Are there per-import or per-row fees?** No. Pricing is flat per production domain. See [updog.tech/#pricing](https://updog.tech/#pricing).\n\n**Can I white-label?** Yes, on every plan including the free tier. Strip all Updog branding via CSS theming.\n\n**Which file formats are supported?** CSV, Excel (XLSX), TSV, JSON, and XML on both import and export.\n\n## License\n\nCommercial — see [LICENSE](./LICENSE) for the full terms of the Updog SDK Commercial License v1.0. Contact `support@updog.tech` for enterprise licensing. Third-party dependencies are listed in `THIRD_PARTY_NOTICES.txt`.\n","readmeFilename":"README.md"}