Project
Reverse Dependencies for csv
The projects listed here declare csv as a runtime or development dependency
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A standalone, self-contained coding and automation agent built on ruby_llm. Provides an agent loop, persistent memory, SQLite sessions, context compaction, a job system, a tool registry, and an extensible UI layer.
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A Rails engine providing comprehensive observability for LLM-powered applications. Features include session tracking, trace analysis, prompt management, cost monitoring, and optional chat/agent testing UI (with RubyLLM integration).
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ruby_llm-toolbox bundles filesystem, shell, web, git, and data tools as ready-to-use RubyLLM::Tool subclasses. One require loads everything; read-only tools are on by default while mutating/exec tools are gated behind explicit config. Tool output is token-budgeted via ruby_llm-tokenizer.
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Ruby Maat is a command line tool used to mine and analyze data from version-control systems (VCS). This is a Ruby port of the original Clojure Code Maat.
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Ruby Scientist and Graphics is a practical data science toolkit for Ruby.
It includes a lightweight built-in DataFrame for loading, cleaning, and transforming data; quick
descriptive statistics and correlations; charting via Gruff (bar and line); and simple ML utilities
(linear regression and k-means)—all behind a small, unified, pandas-inspired API.
Key features:
- Load data from CSV and JSON.
- Clean and transform (remove/add columns, handle missing values, limit rows).
- Describe datasets and compute correlations quickly.
- Create bar and line charts with customization options.
- Train/predict with linear regression; cluster with k-means.
- Save/load project state (data + trained model) and run simple pipelines.
- Optional backend adapters (e.g., Rover) while keeping the same API.
Ideal for analysts and developers who want to explore data in Ruby without relying on Python or R.
Note: plotting via Gruff uses rmagick, which requires ImageMagick installed on the system.
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Ruby gem to generate automated test reports for academic assignments with HTML templates, CSV export, optional PDF (via prawn), class-wide reporting, and basic Jaccard code similarity.
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A Ruby spreadsheet app built on persistent sparse sheets and the Furud calculation engine.
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Run kit.
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A simple and modern interface to create, delete and manage Amazon S3 buckets and files.
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This ensures that the `CSV` never returns `nil` when parsing.Additionally, empty strings will not be quoted when generating CSV.
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A configurable lint engine for SAS source files. Walks the token
stream produced by the `sas-lexer` gem and applies a set of pluggable
rules covering structural defects (malformed `if` conditions,
identical `then`/`else` branches, unreachable inner branches),
cosmetic issues (trailing whitespace, tab expansion, line endings,
encoding gremlins), and source-header conventions. Includes a
`bin/sas_lint` CLI and YAML-based config.
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Scout gear: workflow, TSVs, persistence, entities, associations, and knowledge_bases.
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Helpers for writing command line scripts. An extraction from Dwellable.
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Every sea port UNECE publishes a UN/LOCODE for, as a lookup table with no
dependencies and no network calls. Turns the bare codes in an AIS or
carrier tracking feed back into port names and coordinates. The table is
regenerated from each UN/LOCODE release and shipped inside the gem.
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Load CSV/XLSX, check it, format it and spit it back to the user with a single command.
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A command-line tool for extracting, formatting, and analyzing Rails request logs to identify performance bottlenecks and gain insights.
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A gem that use Generative AI for data sentiment analysis
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A gem that does sentiment analysis and profane words filter on provided text. Cloud Application Development project 2020
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A benchmarking suite for comparing performance of various serialization libraries in Ruby, including XML, JSON, and TOML parsers/generators.
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A mountable Rails engine that provides a real-time dashboard for Amazon SES, tracking email delivery, bounces, complaints, opens, and clicks via SNS webhooks.
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