randomgen 1.19.0 has been released with bug fixes and new features.
A helper class that lets users define custom bit generators in Python (slow) or numba (fast). This simplifies experimenting with alternative configurations. The UserBitGenerator can be used with numpy.random.Generator to produce variants from a wide range of distributions.
New bit generators:
PCG64DXSM - The cheap-multiplier variant that produces output before updating the state. This generator may become the default in NumPy in the future and is the 2.0 version of PCG64.
LCG128Mix - A 128-bit LCG with a settable multiplier, increment, and output function. This generator nests both PCG64 and PCG64DXSM as special cases. It also can act as a standard 128bit LCG/MCG.
EFIIX64 (x48 variant) - Chris Doty's stream cipher-like generator
SFC64 with settable counter increment which allows distinct streams to be produced from the same SeedSequence.
LXM - A generator that mixes the output of a 64 bit-LCG and a 256bit Xorshift.
ExtendedGenerator contains methods for producing variants that are not included in numpy.random.Generator.
Both Generator and RandomState have been officially deprecated. The NumPy versions are both better maintained and feature-rich.
All bit generators have been tested output at least 1TB (many to 4TB) both as single streams, interleaved and interleaved with 4 or 8196 other bit generators. When interleaved, the additional generators were constructed using both SeedSequence.spawn and jumped (when available).