twilight ventures

parquet lens for vs code

Open VSXVisual Studio Marketplacefree viewer, Pro by subscription

Install from Open VSXInstall from the Visual Studio Marketplacefree to read; the Pro trial runs 30 days on each machine

The map is read before the tunnel. Take it into VS Code: the footer of a 101 MB Parquet file of 5,000,000 rows came off in 8.1 ms in our engine timing, and a row is decoded only when you scroll to it.

This is the VS Code edition of Parquet Lens. It opens Parquet, Avro, TFRecord, Arrow IPC and Feather v2 files as a table, and it reads the metadata before anything else. In our engine timing, the footer read on a 101 MB Parquet file of 5,000,000 rows took 8.1 ms; the rows decode as you scroll to them. A search reads the whole file without holding up the grid. Viewing is free for every format. Pro is a subscription for whole-file filter queries, export to CSV or JSONL, exact stats and grid themes, and it runs as a 30-day trial on each machine before a key is needed.

opens
.parquet, .pq, .parq, .avro, .tfrecord, .tfrecords, .tfrec, .tfrecord.gz, .tfrecords.gz, .tfrec.gz, .arrow, .arrows, .ipc, .feather and .ftr, and nothing else; a .csv or .json file is never touched
runs on
VS Code 1.90 and every later release, with no upper bound; the Open VSX build serves VSCodium and the other editors that use that gallery
stores
Open VSX and the Visual Studio Marketplace
newest version
0.6.21, published 2026-10-17 on both stores
pro
one subscription from Polar, one key for the three extensions; a 30-day trial on each machine first
Parquet Lens in VS Code: a million-row Parquet file as a table with a timestamp column read as dates and times
checkout-events.parquet in VS Code: 1,000,000 rows in 10 row groups, 18.4 MB, snappy, the ts column read as a timestamp with its UTC mark.

free

  • Metadata-first open: schema, row count and row groups appear before any data decodes, whatever the file size
  • Exact types: int64 and decimals at full precision, timestamps with their unit and timezone, nested lists, structs and maps as JSON
  • Whole-file search: match navigation, a case toggle and matches only, which pages through the hit rows alone
  • Go to row: Ctrl+G, the row number, Enter
  • Schema view: logical and physical types, nullability, codecs, encodings, and the footer's per-column null counts and min/max
  • Row detail: pretty-printed values with one-click copy; copy the visible rows as CSV
  • Parquet, Arrow and Feather: the snappy, gzip, zstd, lz4 and lz4_raw codecs; lz4- and zstd-compressed Feather batches; Arrow IPC file and stream with dictionary-encoded columns and legacy v4 framing
  • Avro containers: the row count from the block headers, so the last row of a big file is one jump away; null, deflate, snappy and zstandard codecs; nested records, arrays and maps as readable cells, logical types decoded to their values
  • TFRecord: tf.Example and tf.SequenceExample records, gzip or zlib compressed too, both checksums of every record verified at open; each feature key a column, image bytes shown with their type and size
  • Private by construction: no account, no telemetry; the free viewer makes no network calls

pro

  • Filter queries: country == "US" && amount > 100, tested against every row with the column's own type; the grid becomes the matching rows, search runs inside them, and export can take them
  • Export: all rows, the filter matches or the search matches, to CSV or JSONL, with a cancellable progress bar, never over the source file
  • Exact stats: the schema view's full scan reads every row instead of the footer statistics
  • Themes: twelve looks for the grid, each tuned for light and dark editors; trying one is free for the window, keeping it is Pro

price, as the store shows it

$4.90 a month or $49 a year personal, $9.90 a month or $99 a year business: one key for all three extensions, and Pro stays on in every build while the subscription runs. a personal key activates on up to 3 machines, a business key on 10, all three extensions on each (each extension on each machine is one activation: 9 on the personal key, 30 on the business key); release a machine from the Polar customer portal. when the subscription ends, Polar revokes the key and Pro turns off at the extension's next check, about once a week; the free viewer stays.

one Lens Pro key covers Parquet Lens, JSONL Lens and Log Lens for VS Code, but the three do not pass the key between them. paste it into each one you use, each paste being one activation call of its own, and Remove license key in that extension can release it again.

Keys come from Polar, a personal key or a business key. Pasting one makes a single activation call, a license check runs about once a week after that, and Release and remove makes a single release call. While Polar cannot be reached, the check is tried again at every start and once a day; the trial makes no call at all. Get Pro and the review button open a store page in your browser.

The Parquet Lens schema view in VS Code: types, codecs, encodings and footer statistics per column
The schema view from the file metadata: types, physical types, codecs, encodings, file nulls, min and max per column.

what's new

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Pricing, invoices and licensing questions go to sales@twilightventures.dev; anything else about the product to support@twilightventures.dev.