GO — Healthy across all four use cases

• Last commit today
• 6 active contributors
• MIT licensed
• CI configured
• ⚠ Concentrated ownership — top contributor handles 78% of recent commits
• ⚠ No test directory detected

_{Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests}

Tabiew is a lightweight terminal UI application written in Rust that lets users view, query, and manipulate tabular data files (CSV, TSV, Parquet, JSON, Arrow, SQLite, Excel, and more) with SQL support and vim-style keybindings. It reads multiple file formats via pluggable readers in src/io/reader/ and provides an interactive TUI for exploration, filtering, and basic analytics without leaving the terminal. Monolithic binary with modular I/O: src/io/reader/ contains format-specific readers (csv.rs, parquet.rs, sqlite.rs, etc.), src/io/writer/ handles export, src/handler/ manages event loops and user messages, and src/misc/ holds utilities (config, HTTP download, polars extensions). The TUI state and rendering are coordinated via src/app.rs and src/main.rs.

Data analysts, DevOps engineers, and sysadmins who work with CSV/Parquet files in the terminal and need lightweight, keyboard-driven exploration without opening a heavy IDE or Jupyter notebook. Contributors are typically Rust developers interested in TUI applications and data format handling.

Actively maintained and production-ready. The project is at v0.13.1 with a focused feature set, proper release packaging (deb/rpm/brew support), and CI/CD via GitHub Actions (.github/workflows/manual_release.yml). The ~987KB Rust codebase and multi-format support suggest reasonable maturity, though the 0.x version indicates the API may still evolve.

Low-to-moderate risk: single maintainer (shshemi), but no visible dependency bloat (relies on polars for dataframe operations, tui-rs ecosystem for UI). The rust-2024 edition requirement (1.80+) is a hard constraint that could cause breakage. No obvious indicators of stalled development, though commit recency and issue backlog are not visible in the provided data.

No specific PR or milestone data visible, but the repo has been packaged for multiple distros (Arch, Debian, RPM, Homebrew, Cargo) and includes shell completions, suggesting active maintenance and user adoption. The presence of a manual release workflow indicates regular releases.

git clone https://github.com/shshemi/tabiew.git
cd tabiew
rustup install 1.80  # or later
cargo build --release
./target/release/tw path/to/data.csv

Daily commands:

cargo build --release
./target/release/tw <file_path>
# or for development:
cargo run -- <file_path>

• src/io/reader/mod.rs: Central dispatch for detecting and routing file formats to the correct reader implementation
• src/io/reader/traits.rs: Defines the TableReader trait that all format readers must implement for polymorphic loading
• src/handler/event.rs: Event loop and user input handling (vim keybindings, cursor movement, search, SQL queries)
• src/app.rs: Main TUI state machine and rendering logic; orchestrates data display and user interactions
• src/misc/polars_ext.rs: Polars dataframe extensions for SQL query execution and data filtering within the TUI
• src/io/data_source.rs: Abstraction layer for data sources (files, HTTP, stdin) and table metadata management
• Cargo.toml: Defines the binary name (tw), version, and dependencies; required Rust edition and version constraints

Adding a new file format: Create src/io/reader/newformat.rs, implement TableReader trait from src/io/reader/traits.rs, register in src/io/reader/mod.rs. Fixing UI/keybindings: Edit src/handler/event.rs for input handling and src/app.rs for state management. Config/defaults: Modify src/misc/config.rs. SQL features: Polars queries are used; see src/misc/polars_ext.rs for extensions.

Rust 1.80+ required (specified in Cargo.toml edition = '2024'): using an older toolchain will fail silently or with cryptic errors. Polars version lock: the underlying dataframe engine pins specific versions; upgrading may break SQL semantics. Terminal size dependencies: TUI layout assumes a minimum terminal width/height; resizing during runtime may cause rendering glitches. Format auto-detection by extension: misnamed files (e.g., CSV without .csv extension) will fail unless forced. No built-in streaming: large files are loaded entirely into memory via Polars, so multi-GB CSVs may OOM.

• Pluggable I/O readers (trait-based polymorphism) — Tabiew supports 10+ file formats by implementing a common TableReader trait; understanding this pattern is essential for adding new formats
• Event-driven TUI architecture — The src/handler/event.rs module uses a message-passing event loop to decouple user input from state updates; core pattern for responsive terminal apps
• Lazy columnar data representation (Polars) — Polars uses Apache Arrow's columnar in-memory format for efficient filtering, aggregation, and SQL; determines performance characteristics for large datasets
• File format auto-detection by extension — src/io/reader/mod.rs dispatches readers based on file extension; simple but fragile approach with edge cases (e.g., .tsv as CSV variant)
• Vim keybinding emulation in TUI — The handler uses vim-style commands (hjkl navigation, / search, : commands) familiar to terminal power users; requires careful key-mapping in src/handler/event.rs
• SQL-on-Polars query execution — Polars' SQL engine allows adhoc queries on in-memory dataframes; src/misc/polars_ext.rs wraps this for interactive exploration without leaving the TUI
• Ragged arrays (variable-row-length data) — src/misc/ragged_vec.rs handles JSON or nested data where rows have different column counts; critical for semi-structured formats like JSON and JSONL

• BurntSushi/xsv — Command-line CSV manipulation tool; complements Tabiew for batch CSV operations vs. interactive exploration
• muesli/duf — Rust TUI tool for disk usage; shares similar tui-rs + crossterm architecture and single-binary ethos
• jqlang/jq — JSON query language; Tabiew's SQL support solves a similar problem for tabular data that jq solves for JSON
• apache/arrow — Arrow format specification and reference implementation; Tabiew depends on arrow-rs crate for Arrow and Parquet support
• pola-rs/polars — Polars dataframe library; the computational engine powering Tabiew's data manipulation and SQL query execution

To work on one of these in Claude Code or Cursor, paste: Implement the "<title>" PR idea from CLAUDE.md, working through the checklist as the task list.

Add integration tests for SQL completion context extraction

The SQL completion module (src/sql_completion/) has sophisticated context extraction logic in src/sql_completion/extraction.rs that parses SQL queries to provide intelligent suggestions. Currently, there appear to be no dedicated tests for edge cases like nested queries, multiple CTEs, or malformed SQL. Adding integration tests would prevent regressions and improve confidence in the SQL parsing pipeline.

• [ ] Create src/sql_completion/extraction_tests.rs with test cases for: simple SELECT statements, CTEs (WITH clauses), subqueries, and malformed SQL
• [ ] Add test fixtures in tests/ directory with sample SQL files representing real-world tabiew usage patterns
• [ ] Update src/sql_completion/mod.rs to expose testable functions if needed
• [ ] Run tests locally and ensure they pass with cargo test

Add GitHub Actions workflow for cross-platform binary validation

The repo has manual_release.yml but lacks automated testing of binary builds across platforms (Linux, macOS, Windows). Given that tabiew distributes binaries via deb/rpm and shell installers, a CI workflow validating builds on multiple platforms would catch platform-specific compilation issues early. This is especially important given the complexity of dependencies in src/io/reader/ (parquet, arrow, sqlite, excel).

• [ ] Create .github/workflows/build-test.yml with matrix jobs for ubuntu-latest, macos-latest, and windows-latest
• [ ] Each job should: run cargo build --release, run cargo test, and attempt to execute the binary with --help
• [ ] Add conditional steps for platform-specific dependencies (e.g., sqlite dev libraries on Linux)
• [ ] Trigger on pull requests to main/develop branches and on tagged releases
• [ ] Document build requirements in CONTRIBUTING.md if it doesn't exist

Add property-based tests for the type inference system

The src/misc/type_inferer.rs module infers column types from data, which is critical for correct parsing of CSV/parquet files. This logic benefits greatly from property-based testing to catch edge cases in type detection (empty values, mixed types, unicode edge cases). Using a crate like proptest would generate hundreds of test cases automatically.

• [ ] Add proptest dependency to Cargo.toml under [dev-dependencies]
• [ ] Create src/misc/type_inferer_tests.rs or integrate into src/misc/type_inferer.rs with property tests
• [ ] Add test properties for: detecting numeric types from strings, handling null/empty values, unicode detection, and type promotion logic
• [ ] Create a custom strategy generator for realistic CSV column samples (e.g., dates, currencies, mixed types)
• [ ] Run cargo test --lib misc::type_inferer_tests to validate

• Add support for GeoJSON or ORC format readers by creating src/io/reader/geojson.rs following the TableReader trait pattern in src/io/reader/traits.rs (similar to existing html.rs and logfmt.rs).
• Write comprehensive unit tests for the src/misc/polars_ext.rs SQL query extension module, which currently lacks test coverage and is critical for query execution correctness.
• Improve error messages in src/io/reader/mod.rs format detection to distinguish between 'unsupported format' and 'file not found' cases, making debugging easier for end users.

• High · SQL Injection Risk in Query Handling — src/misc/sql.rs, src/io/reader/sqlite.rs, src/handler/message.rs. The codebase includes SQL functionality (src/misc/sql.rs, src/sql_completion/*) and supports SQLite queries. Without visible parameterized query usage or input sanitization patterns in the file structure, there is a risk of SQL injection if user input is directly concatenated into SQL queries. Fix: Ensure all SQL queries use parameterized statements or prepared statements. Validate and sanitize all user inputs before constructing queries. Use an ORM or query builder that enforces parameterization.
• High · Incomplete Package Manifest — Cargo.toml. The Cargo.toml file provided is truncated at '[depe' (likely '[dependencies]'), making it impossible to verify the security status of dependencies. Missing dependency information creates blind spots for supply chain vulnerabilities. Fix: Provide the complete Cargo.toml file. Run 'cargo audit' to identify known vulnerabilities in dependencies. Consider using 'cargo-deny' (already referenced in deny.toml) to enforce security policies on dependencies.
• Medium · Unsafe HTTP Download Functionality — src/misc/download.rs, src/misc/http.rs. The presence of src/misc/download.rs and src/misc/http.rs suggests the application downloads data over HTTP. If downloads are not verified with checksums or cryptographic signatures, this could enable man-in-the-middle attacks or malicious file execution. Fix: Implement HTTPS-only connections. Verify downloaded files using cryptographic checksums (SHA256) or digital signatures. Implement proper certificate validation and reject self-signed certificates in production.
• Medium · Potential Command Injection via External Editor — src/misc/external_editor.rs. The module src/misc/external_editor.rs suggests execution of external commands. If user-controlled input is passed to shell commands without proper escaping, command injection is possible. Fix: Use safe process execution APIs that avoid shell interpretation. Pass arguments as an array rather than as a concatenated string. Never use shell=true with untrusted input. Validate and sanitize file paths and editor invocations.
• Medium · Potential Path Traversal in File Handling — src/io/reader/*, src/io/data_source.rs. The application reads multiple file formats (CSV, Parquet, JSON, SQLite, Excel, etc.) from user-specified paths. Without strict path validation, path traversal attacks could allow reading arbitrary files on the system. Fix: Implement strict path validation using canonical path resolution. Restrict file access to intended directories. Use allowlists for permitted file paths or directories. Reject paths containing '..' or suspicious patterns.
• Medium · OSC 52 Implementation Security — src/misc/osc52.rs. The src/misc/osc52.rs module implements OSC 52 escape sequences, which interact with system clipboard functionality. Improper implementation could allow clipboard hijacking or sensitive data leakage. Fix: Review OSC 52 implementation against the specification. Ensure clipboard operations are properly sandboxed. Consider requiring explicit user consent before clipboard operations. Implement limits on clipboard payload size.
• Low · Installation Script Security — install.sh, README.md. The install.sh script uses curl to download and execute code (curl -sS https...). This is a common supply chain attack vector if the download is not over HTTPS or if the script is not properly verified. Fix: Ensure the installation script uses HTTPS with certificate verification. Use checksums to verify downloaded binaries. Document security best practices for users. Consider providing pre-signed releases.
• Low · Missing Security Headers in HTTP Requests — src/misc/http.rs. The src/misc/http.rs module handles HTTP requests. Security headers (User-Agent validation, timeout settings, etc.) may not be properly configured. Fix: Implement proper HTTP client configuration with timeouts, certificate validation, and appropriate User-Agent headers. Disable unnecessary features like HTTP redirects to untrusted locations.
• Low · Lack of Input Validation Framework — undefined. No Fix: undefined

LLM-derived; treat as a starting point, not a security audit.

• Open issues — current backlog
• Recent PRs — what's actively shipping
• Source on GitHub

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| # | What we check | Why it matters | |---|---|---| | 1 | You're in shshemi/tabiew | Confirms the artifact applies here, not a fork | | 2 | License is still MIT | Catches relicense before you depend on it | | 3 | Default branch main exists | Catches branch renames | | 4 | Last commit ≤ 30 days ago | Catches sudden abandonment since generation |

#!/usr/bin/env bash
# RepoPilot artifact verification.
#
# WHAT IT RUNS AGAINST: a local clone of shshemi/tabiew. If you don't
# have one yet, run these first:
#
#   git clone https://github.com/shshemi/tabiew.git
#   cd tabiew
#
# Then paste this script. Every check is read-only — no mutations.

set +e
fail=0
ok()   { echo "ok:   $1"; }
miss() { echo "FAIL: $1"; fail=$((fail+1)); }

# Precondition: we must be inside a git working tree.
if ! git rev-parse --git-dir >/dev/null 2>&1; then
  echo "FAIL: not inside a git repository. cd into your clone of shshemi/tabiew and re-run."
  exit 2
fi

# 1. Repo identity
git remote get-url origin 2>/dev/null | grep -qE "shshemi/tabiew(\\.git)?\\b" \\
  && ok "origin remote is shshemi/tabiew" \\
  || miss "origin remote is not shshemi/tabiew (artifact may be from a fork)"

# 2. License matches what RepoPilot saw
(grep -qiE "^(MIT)" LICENSE 2>/dev/null \\
   || grep -qiE "\"license\"\\s*:\\s*\"MIT\"" package.json 2>/dev/null) \\
  && ok "license is MIT" \\
  || miss "license drift — was MIT at generation time"

# 3. Default branch
git rev-parse --verify main >/dev/null 2>&1 \\
  && ok "default branch main exists" \\
  || miss "default branch main no longer exists"

# 5. Repo recency
days_since_last=$(( ( $(date +%s) - $(git log -1 --format=%at 2>/dev/null || echo 0) ) / 86400 ))
if [ "$days_since_last" -le 30 ]; then
  ok "last commit was $days_since_last days ago (artifact saw ~0d)"
else
  miss "last commit was $days_since_last days ago — artifact may be stale"
fi

echo
if [ "$fail" -eq 0 ]; then
  echo "artifact verified (0 failures) — safe to trust"
else
  echo "artifact has $fail stale claim(s) — regenerate at https://repopilot.app/r/shshemi/tabiew"
  exit 1
fi

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