dataframe / dataframe-csv
AGENTS.md1.1k starsChanged 26 days agoApache-2.0View on GitHub
Guidance for this module. See the root AGENTS.md for repo-wide build/style/KoDEx rules; only module-specific details are here. dataframe-csv (artifact dataframe-csv, "CSV support for Kotlin DataFrame"). Reads and writes CSV / TSV / arbitrary delimited text to and from DataFrame, with type inference for cell values. This is the modern, enhanced delimited-text integration; the older CSV/TSV code left in core is deprecated in favor of this module. Depends on core and, as api, on dataframe-json — JSON is used to read/write…
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- Kotlin/kandy“Support compose multiplatform”GitHub · Dec 14, 2023 · 45 reactions
- Kotlin/kotlin-agent-skills“Add a Skill for working with Kotlin DataFrame”GitHub · May 19, 2026 · 6 reactions
- deephaven/deephaven-csv“Read files with different encodings”GitHub · Nov 11, 2025 · 2 reactions
- Velkonost/sssss“deps(gradle): bump org.jetbrains.kotlinx:dataframe from 0.13.1 to 0.15.0”GitHub · Oct 15, 2025 · 2 reactions
- jeremymailen/kotlinter-gradle“Wired issues when Upgrading to Kotlin 1.8.20 ”GitHub · Apr 12, 2023 · 2 reactions
The biggest 5 of 51 mentions linking to the repository that our crawl found. Each line is their own headline.
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Talked about on GitHub and Bluesky (51 times).
On GitHub · 50
- Dec 14, 2023Support compose multiplatform — Kotlin/kandy45 reactions · 7 comments
- May 19, 2026Add a Skill for working with Kotlin DataFrame — Kotlin/kotlin-agent-skills6 reactions
- Nov 11, 2025Read files with different encodings — deephaven/deephaven-csv2 reactions · 2 comments
- Oct 15, 2025deps(gradle): bump org.jetbrains.kotlinx:dataframe from 0.13.1 to 0.15.0 — Velkonost/sssss2 reactions · 1 comment
- Apr 12, 2023Wired issues when Upgrading to Kotlin 1.8.20 — jeremymailen/kotlinter-gradle2 reactions · 9 comments
45 more on GitHub
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- Dec 9, 2024chore(deps): update dependency org.jetbrains.kotlinx:dataframe to v0.15.0 — Kotlin/kotlin-jupyter-libraries1 reaction
- May 27, 2024Remove `concatFixed()` — Kotlin/kandy1 reaction
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- Oct 30, 2026[KDF] Support columnOf(vararg DataFrame) FrameColumn creation — JetBrains/kotlin0 reactions · 18 comments
- Oct 29, 2026Move `@sample` after the removal of escape characters — Jolanrensen/KoDEx0 reactions · 2 comments
- Oct 26, 2026chore(deps): bump kotlinx-dataframe from 1.0.0-rc02 to 1.0.0-rc02n — sureshg/build-commons0 reactions
- Oct 19, 2026chore(deps): bump kotlinx-dataframe from 1.0.0-rc01 to 1.0.0-rc02n — sureshg/kotlin-mpp-playground0 reactions · 2 comments
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- Oct 16, 2026Fix generated jars and support publishing KoDEx-processed artifacts — Jolanrensen/KoDEx0 reactions
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- Sep 28, 2026chore(deps): bump kotlinx-dataframe from 1.0.0-rc01 to 1.0.0-rc01n — sureshg/build-commons0 reactions
- Sep 21, 2026chore(deps): bump kotlinx-dataframe from 1.0.0-rc01 to 1.0.0-rc01n — sureshg/build-commons0 reactions
- Sep 14, 2026chore(deps): bump kotlinx-dataframe from 1.0.0-rc01 to 1.0.0-rc01n — sureshg/build-commons0 reactions
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- Sep 7, 2026chore(deps): bump kotlinx-dataframe from 1.0.0-rc01 to 1.0.0-rc01n — sureshg/build-commons0 reactions
- Aug 31, 2026chore(deps): bump kotlinx-dataframe from 1.0.0-rc01 to 1.0.0-rc01n — sureshg/build-commons0 reactions
- Aug 24, 2026chore(deps): bump kotlinx-dataframe from 1.0.0-rc01 to 1.0.0-rc01n — sureshg/build-commons0 reactions
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On Bluesky · 1
- May 19, 2025Kotlin DataFrame aims to reconcile Kotlin's static typing with the dynamic nature of data by utilizing both the full power of the Kotlin… — @ytroncal.bsky.social1 likes and repost
Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.
Of the AGENTS.md files we read, the 31,542 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repository24 other files it gives its agents.
- AGENTS.mdAGENTS.md
- core/AGENTS.mdAGENTS.md
- dataframe-arrow/AGENTS.mdAGENTS.md
- dataframe-compiler-plugin-core/AGENTS.mdAGENTS.md
- dataframe-excel/AGENTS.mdAGENTS.md
- dataframe-geo/AGENTS.mdAGENTS.md
- dataframe-jdbc/AGENTS.mdAGENTS.md
- dataframe-json/AGENTS.mdAGENTS.md
- examples/AGENTS.mdAGENTS.md
- plugins/AGENTS.mdAGENTS.md
- samples/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- core/CLAUDE.mdCLAUDE.md
- dataframe-arrow/CLAUDE.mdCLAUDE.md
- dataframe-compiler-plugin-core/CLAUDE.mdCLAUDE.md
- dataframe-csv/CLAUDE.mdCLAUDE.md
- dataframe-excel/CLAUDE.mdCLAUDE.md
- dataframe-geo/CLAUDE.mdCLAUDE.md
- dataframe-jdbc/CLAUDE.mdCLAUDE.md
- dataframe-json/CLAUDE.mdCLAUDE.md
- examples/CLAUDE.mdCLAUDE.md
- plugins/CLAUDE.mdCLAUDE.md
- samples/CLAUDE.mdCLAUDE.md
- operation-website-documentationSkill
The file
We split this AGENTS.md into the rules it gives an agent
2 rules. About 0 are common, 0 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 29
All the public functions delegate to impl/io/readDelim.kt and impl/io/writeDelim.kt.
- Very specific: line 48
Run just this module: ./gradlew dataframe-csv:test (add -Pkotlin.dataframe.debug=true to match CI checks).
≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
AGENTS.md — dataframe-csv
Guidance for this module. See the root AGENTS.md for repo-wide build/style/KoDEx rules; only module-specific
details are here.
What this module is
dataframe-csv (artifact dataframe-csv, "CSV support for Kotlin DataFrame"). Reads and writes CSV / TSV / arbitrary
delimited text to and from DataFrame, with type inference for cell values. This is the modern, enhanced delimited-text
integration; the older CSV/TSV code left in core is deprecated in favor of this module.
Depends on core and, as api, on dataframe-json — JSON is used to read/write nested DataFrame/DataRow values
inside CSV cells. That JSON dependency can be safely excluded downstream if you only handle flat frames.
Third-party libraries: Deephaven CSV (libs.deephavenCsv) for fast reading, Apache Commons CSV
(libs.commonsCsv) for writing. fastDoubleParser handles numeric parsing.
Public API surface (src/main/kotlin/.../io/)
One file per operation family, each a set of DataFrame.Companion / AnyFrame extension functions:
- Reading:
readCsv.kt,readTsv.kt,readDelim.kt(fromFile/Path/URL/InputStream), and the string variantsreadCsvStr.kt,readTsvStr.kt,readDelimStr.kt. - Writing:
writeCsv.kt,writeTsv.kt,writeDelim.kt, plus in-memorytoCsvStr.kt,toTsvStr.kt,toDelimStr.kt. QuoteMode.ktand thedocumentationCsv/DelimParams.ktobject hold the shared parameter set and defaults used across all of the above (delimiter, header, quoting, compression, etc.). CSV = comma, TSV = tab; both are thin wrappers over the generic delim functions.
All the public functions delegate to impl/io/readDelim.kt and impl/io/writeDelim.kt; ListSink.kt and
DataFrameCustomDoubleParser.kt are internal helpers. Reading transparently handles gzip and zip input (see the
.gz/.zip fixtures in test resources).
documentationCsv/CommonReadDelimDocs.kt / CommonWriteDelimDocs.kt are KoDEx documentation-only sources: the shared
KDoc for every read/write function is written once there and @included into the individual operation files. Edit the
docs there, not in each function.
Legacy/deprecated: io/csv.kt and io/tsv.kt define CsvDeephaven / TsvDeephaven, implementations of the old
SupportedDataFrameFormat SPI registered in
src/main/resources/META-INF/services/org.jetbrains.kotlinx.dataframe.io.SupportedFormat. That SPI is deprecated
(ERROR level, removed in 1.0) — don't build on it; the read*/write* extension functions above are the real API.
Tests & benchmarks
src/test/kotlin/.../io/DelimCsvTsvTests.ktis the main test; fixtures (various encodings, BOMs, gzip, zip, locales) live insrc/test/resources/.kotlinx.benchmarkis configured (benchmark { targets { register("test") } });BenchmarkTest.ktholds read benchmarks.- Run just this module:
./gradlew dataframe-csv:test(add-Pkotlin.dataframe.debug=trueto match CI checks).
Does it work?
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
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- It didn't
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

