A flexible command-line tool for generating graphs and charts from CSV data files.
graph-cli is a Python-based command-line tool that generates graphs and charts directly from CSV files. It solves the problem of quickly visualizing data without writing custom plotting scripts or using heavyweight applications, offering a streamlined, terminal-friendly workflow.
Data analysts, researchers, and developers who need to rapidly visualize CSV datasets from the command line, especially in automated scripts or data processing pipelines.
Developers choose graph-cli for its balance of simplicity and configurability—it provides extensive customization through flags while using sensible defaults, and its chaining feature enables complex multi-file visualizations without extra tooling.
Flexible command line tool to create graphs from CSV data
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Offers extensive command-line flags for detailed customization, as shown in the examples with options like --hist, --resample, and the separate OPTIONS.md file for full documentation.
Supports chaining multiple CSV files in commands, enabling complex multi-source visualizations without extra scripting, demonstrated in the sine-cosine example with --chain.
Includes a resampling feature to aggregate or downsample data, making time-series plots cleaner, as evidenced by the avocado.csv example with --resample 1W.
Easy installation via pip and reasonable defaults allow immediate use with minimal arguments, such as in the basic sine.csv example requiring only input and output flags.
Primarily supports basic chart types like line graphs and histograms, lacking advanced options such as scatter plots or bar charts, which might not meet diverse visualization needs.
Full customization requires consulting separate files like OPTIONS.md, which can be inconvenient for users who prefer integrated, in-depth documentation within the README.
Relies on Python and pip for installation, potentially causing issues in environments without Python or with version conflicts, limiting portability compared to standalone binaries.