9 Best Free CSV Editors for Mac in 2026 (Tested & Ranked)

Mac's built-in options for CSV are genuinely bad. Numbers mangles formatting, Excel costs money and corrupts data. The tools below give you proper CSV editing without the data corruption problem. Pick based on how often you use CSV and how large your files are.
LibreOffice Calc
Free, open source. Install via brew install --cask libreoffice or direct download. Best free option for spreadsheet-style editing.
The import dialog lets you choose delimiter, set character encoding, and assign column types before data loads. Mark a column as "Text" and it stays as text. No silent conversion of zip codes or phone numbers.
Once loaded, you get full spreadsheet environment: sorting, filtering, formulas, conditional formatting, pivot tables. Handles several hundred thousand rows reasonably well.
Runs natively on macOS. Interface feels more traditional than most Mac apps, but it's completely free, actively maintained, and reliably gets the job done.
Download from libreoffice.org. Free and open source.
[SCREENSHOT: LibreOffice Calc on Mac with CSV import dialog showing column type selection]
Modern CSV
Mac-native, clean native feel, handles large files. Available as native macOS app.
Clean, minimal interface. Data appears in table view where you can click into any cell to edit, select multiple cells, and move columns by dragging. Everything stays snappy even with large files.
Read-only mode for quick inspection without accidental edits. Search works across entire file and feels instant on typical datasets.
Free version covers core features most people need: opening, viewing, editing, and saving CSV files. Paid version adds regex search and multi-file editing, but free tier is generous.
Download from moderncsv.com. Free version available, native macOS app.
[SCREENSHOT: Modern CSV on Mac showing clean interface with large file]
TableTool
macOS Quick Look plugin that lets you preview CSV files right from Finder without opening any application. Select a CSV file, press Space, and you get a nicely formatted table view.
Changes how you work with CSV files. Instead of opening LibreOffice or another app every time you want to check contents, just hit Space and see your data instantly. Preview shows columns properly aligned, and you can scroll through data right in Quick Look window.
Works with CSV, TSV, and other delimited formats. Detects delimiters automatically and handles different encodings well. Rendering is fast, even for files with tens of thousands of rows.
Limitation: viewer only. Can't modify data or save changes. But as complement to your main CSV editor, one of those small utilities you'll wonder how you lived without.
Download from github.com/jakob/TableTool. Free and open source, available on GitHub.
[SCREENSHOT: TableTool Quick Look preview on Mac showing CSV file in Finder]
Visual Studio Code with Rainbow CSV
If you're a developer on Mac, you probably already have VS Code installed. With Rainbow CSV extension, it becomes surprisingly capable CSV editor.
Rainbow CSV color-codes each column in different color, making it easy to visually track columns even in raw text view. Real power comes from RBQL (Rainbow Query Language), which lets you run SQL-like queries directly on your CSV data.
Extension provides column alignment, column number display when you hover, and ability to convert between different delimiter formats. Combined with VS Code's existing strengths (multi-cursor editing, powerful search/replace with regex, integrated terminal), you get complete CSV workflow.
Downside: working with raw text rather than table view. For visual browsing and cell-by-cell editing, dedicated CSV tool is more comfortable. But for quick edits, data exploration, and especially for developers who live in VS Code anyway, excellent option that doesn't require installing another app.
Download VS Code from code.visualstudio.com. Free, then install Rainbow CSV from Extensions marketplace.
[SCREENSHOT: VS Code with Rainbow CSV on Mac showing color-coded columns]
Google Sheets (Browser-Based)
Works the same on Mac as any other platform. Drop CSV file into Google Drive or import directly into new sheet, and you've got full spreadsheet editor running in browser.
Collaboration features are genuinely excellent. Share sheet with colleagues and edit simultaneously, leave comments on specific cells, and track change history. For teams cleaning up or reviewing CSV data together, nothing else on this list comes close.
Handles sorting, filtering, formulas, pivot tables, and all standard spreadsheet operations. Does reasonable job with CSV imports, though like Numbers, it can auto-convert data types in ways you don't want. No import dialog to override column types before loading.
Limitations: need internet access, cell limit (around 10 million cells), and uploading large files can be slow. If CSV contains sensitive data, uploading to Google's servers might not be acceptable depending on organization's policies.
For collaborative data work on moderate-sized files, hard to beat. Just be aware of auto-formatting quirks and data privacy considerations.
Open at sheets.google.com. Free with Google account.
[SCREENSHOT: Google Sheets on Mac browser with CSV import]
Sublime Text with Advanced CSV
Sublime Text is one of fastest code editors available on Mac. With Advanced CSV package, it becomes capable CSV tool.
Advanced CSV package adds column highlighting, column alignment, sorting, filtering, and ability to restructure CSV data. Combined with Sublime's legendary speed (opens large files almost instantly) and powerful multi-cursor editing, you get CSV workflow that's incredibly efficient for someone comfortable with keyboard-driven editing.
Multi-cursor feature especially powerful for CSV files. Need to add prefix to every value in column? Select first instance, hit keyboard shortcut to select all matching instances, and type your change once. Applies simultaneously to every selected occurrence.
Sublime Text is free to use with occasional purchase prompts. Advanced CSV package installed through Package Control and also free.
Limitation: working in text view, not table. For people who prefer visual, click-and-edit table interactions, dedicated CSV tool will feel more natural.
Download from sublimetext.com. Free version with occasional purchase prompts.
[SCREENSHOT: Sublime Text with Advanced CSV on Mac showing multi-cursor editing]
Easy CSV Editor
Native macOS app designed specifically for editing CSV and TSV files. Interface feels right at home on Mac, with clean, modern design following Apple's design guidelines.
Presents data in table view with sortable columns, inline editing, and ability to add or remove rows and columns. Handles different delimiters, lets you change encoding settings, and preserves data types without unexpected conversions. Search functionality fast and includes filter mode showing only matching rows.
Standout feature: document comparison tool. If you have two versions of CSV file and want to see what changed between them, Easy CSV Editor can highlight differences. Useful when debugging data pipeline issues or verifying export matches what was expected.
Designed to be lightweight and fast. Opens quickly, handles medium-sized files without any lag, and uses minimal system resources. For very large files (over million rows), you'll want something more optimized, but for everyday CSV work, it's smooth.
Available on Mac App Store. Free version with basic features, paid version unlocks the full feature set including comparison tools and advanced editing options.
Download from vdt-labs.com/easy-csv-editor. Free version on Mac App Store.
[SCREENSHOT: Easy CSV Editor on Mac showing native interface]
Tad Viewer
Open-source desktop application for viewing and analyzing large tabular data files, including CSV, Parquet, and SQLite databases. Built on top of DuckDB, which means it can handle large files with impressive performance.
Interface gives clean table view of data with fast scrolling, column sorting, and ability to apply filters. Tad can also compute summary statistics for columns (counts, sums, averages) and create cross-tabulations, handy for quick data exploration.
What makes Tad special: handling of large files. Because it uses DuckDB under hood, it can work with files far larger than what fits in memory. Can browse multi-gigabyte CSV exports that would crash most other tools on this list.
Trade-off: Tad is primarily viewer and analyzer. You can explore and filter data, but editing capabilities are limited. Best used as complement to editor rather than replacement. Open file in Tad to understand data, then switch to Modern CSV or LibreOffice to make changes.
Download from tadviewer.com. Free and open source.
[SCREENSHOT: Tad Viewer on Mac with large CSV file showing statistics]
Ron's CSV Editor
Cross-platform, available for Mac, good for large files. Displays CSV data in table-based grid with column sorting, filtering, and row operations.
Supports adding, deleting, and reordering columns. Insert or remove rows without formula dependencies. Cell-level editing with immediate visual feedback.
Find and replace works across entire file or within specific columns with regular expression support. Duplicate row detection and removal. Whitespace trimming and text case conversion.
Automatic delimiter detection handles commas, tabs, semicolons, pipes, and custom separators. Encoding selection supports UTF-8, Windows-1252, and UTF-16 with preview wizard.
Handles 100,000+ rows efficiently. Portable version can run without installation.
Download from ronsplace.eu/products/ronsdataedit. Free version available.
[SCREENSHOT: Ron's CSV Editor on Mac showing data operations]
Comparison Table
| Tool | Free? | Mac-native? | Large file support? | Best for |
|---|---|---|---|---|
| LibreOffice Calc | Yes | Yes | Good (up to ~1M rows) | Full spreadsheet editing |
| Modern CSV | Yes (free tier) | Yes | Excellent | Purpose-built CSV editing |
| TableTool | Yes | Yes | Good | Instant preview from Finder |
| VS Code + Rainbow CSV | Yes | Yes | Good | Developers already using VS Code |
| Google Sheets | Yes | No (browser) | Moderate (~10M cells) | Collaboration and sharing |
| Sublime Text + CSV | Yes (with prompts) | Yes | Excellent | Speed-focused editing |
| Easy CSV Editor | Yes (limited) | Yes | Moderate | Native Mac CSV experience |
| Tad Viewer | Yes | Yes | Exceptional | Analyzing very large files |
| Ron's CSV Editor | Yes | Yes | Good | Cross-platform CSV editing |
Recommendation
LibreOffice Calc for most Mac users who need free full-featured option. Modern CSV if you regularly work with large files. Sublime Text with Rainbow CSV if you prefer staying in text editor.
Frequently Asked Questions
Does Mac Numbers handle CSV files properly?
No. Numbers auto-formats data aggressively without giving you control. Long numbers become scientific notation, strings that look like dates become dates, and leading zeros disappear. There's no import dialog to override these decisions like LibreOffice has. Use Numbers only for simple files where data types don't matter.
What's the best free CSV editor for Mac?
LibreOffice Calc for full spreadsheet functionality with proper CSV import controls. Modern CSV for dedicated CSV editing with clean Mac-native interface. Both are completely free. LibreOffice is open source, Modern CSV has generous free tier.
Can I open large CSV files on Mac without them freezing?
Yes. Use Modern CSV or Tad Viewer for files over 1 million rows. Both handle massive files efficiently. Tad can work with multi-gigabyte files that would crash most other tools. Avoid Numbers for large files as it has poor performance with large datasets.
How do I stop Mac from converting CSV data when I open it?
Don't double-click CSV files (opens in Numbers by default). Instead, open LibreOffice Calc, use File > Open, select your CSV, and in import dialog, set column type to "Text" for columns needing exact preservation. Or use dedicated CSV editor like Modern CSV which treats all data as text by default.
Is LibreOffice good for CSV editing on Mac?
Yes, it's one of the best free options. The import dialog gives you full control over delimiters, encoding, and column types before loading data. This prevents the silent data corruption that happens in Numbers and Excel. It's open source, completely free, and handles hundreds of thousands of rows well.
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