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• README.md modified
• Logo changed
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• Graphviz(DOT) format added #123
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• CLI mode updated #121
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• requirements-splitter.py added
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• JSON, YAML and Pickle formats value changed from string to number #82
• properties section added to JSON, YAML and Pickle formats #84
• _write_to_json function renamed to _write_data_to_json
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• Number of files option added #42
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• GDF format added #41
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• Graph Line format #36
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• Matrix Market format added #3
• json_maker function optimized #32
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• TSV format added #28
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Version 0.2

Pyrgg is an easy-to-use synthetic random graph generator written in Python which supports various graph file formats including DIMACS .gr files.
Pyrgg has the ability to generate graphs of different sizes and is designed to provide input files for broad range of graph-based research applications, including but not limited to testing, benchmarking and performance-analysis of graph processing frameworks.
Pyrgg target audiences are computer scientists who study graph algorithms and graph processing frameworks.

Graph Specifications :

• Weighted
• Signed
• Self Loop
• Parallel Arc
• Sparse
• Dense

Supported Formats:

• DIMACS(.gr)
• CSV(.csv)
• JSON(.json)
• YAML(.yaml)
• Weighted Edge List(.wel)
• ASP(.lp)
• Trivial Graph Format(.tgf)
• UCINET DL Format(.dl)
• Pickle(.p)

JOSS paper accepted : http://dx.doi.org/10.21105/joss.00331

Pyrgg is an easy to use synthetic random graph generator based on DIMACS/JSON formats written in python
this software generate input files for graph processing applications.

Pyrgg can generate graphs with this specs :

• Weighted
• Signed
• Self Loop
• Parallel Arc
• Sparse
• Dense

This application get :

• vertices number
• max weight
• min weight
• max edge number(for each vertex)
• min edge number(for each vertex)

and generate graph in flat file format (*.gr) and JSON.