• Latest version: qgraf-3.6.2 (2022).
  Please report any error you may happen to find.

• Programming language: Fortran 2008 for versions released since 2020, and Fortran 77 for earlier versions.
  Executables/binaries are not distributed, the program has to be compiled and linked.
  Employing GNU Fortran for that task should be straightforward, eg there should be no need to specify a Fortran standard (see file qgraf-3.6.0.pdf).
  There are executable/binary versions of GFortran for several operating systems, as described in the GFortranBinaries webpage.

• The features added in the last three versions include (eg):
  an option to select diagrams with non-factorizable cycle spaces (3.4);
  an option to select 1–vertex irreducible diagrams (3.4);
  the ability to generate multiple output files in the same run (3.5);
  an extended language for describing input models (3.6).

• Current plans: qgraf-3.4 should be available and supported for some time yet (minimal fixes as need be); the long term status of qgraf-3.5 is uncertain at this moment, but it will not be ‘stable’ like qgraf-3.4; moreover, qgraf-3.1 should be considered obsolete, and (say) qgraf-3.4 its potential substitute.

Qgraf is based on the method described in the following paper:

• Automatic Feynman graph generation
  J. Comput. Phys. 105 (1993) 279–289
  https://doi.org/10.1006/jcph.1993.1074
  

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  This paper presents a concise description of an orderly algorithm for generating Feynman diagrams, on which Qgraf is based. In addition, it presents a diverse set of numbers — either the numbers of graphs in certain sets or the sums of the respective symmetry factors — which may be employed to cross-check the correctness of Feynman diagram generators.

The diagram generation with mixed propagators can be reduced to the usual one:

• Feynman graph generation and propagator mixing, I
  Comput. Phys. Commun. 269 (2021) 108103
  https://doi.org/10.1016/j.cpc.2021.108103
  

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  Given a QFT model with mixed propagators, this paper shows how to construct a modified model without such propagators, whose Feynman diagrams may be easily transformed into the diagrams of the original model; moreover, it explains in detail why that approach works.