Is dm-haiku safe to use?

dm-haiku has no known vulnerabilities on the latest version (0.0.17). DepScope rates its health at 76/100 (moderate risk).

What is the latest version of dm-haiku?

The latest version of dm-haiku is 0.0.17, released 2026-07-27.

Does dm-haiku have known vulnerabilities?

No known vulnerabilities on the latest version of dm-haiku.

Is dm-haiku deprecated?

No, dm-haiku is actively maintained. Latest release: 0.0.17 (2026-07-27).

What are alternatives to dm-haiku?

Popular alternatives to dm-haiku in PyPI include: typing_extensions, setuptools, cffi, annotated_types, typing-inspection.

What license does dm-haiku use?

dm-haiku is licensed under Apache 2.0.

dm-haiku

pypiv0.0.17

Haiku is a library for building neural networks in JAX.

License Apache 2.0permissive20 versions1 maintainers7 deps53,607 weekly dl

deepmind/dm-haiku

/ 100

Health

safe to use

[email protected] is safe to use (health: 76/100)

Health breakdown0 – 100

25/25

maintenance

10/20

popularity

25/25

security

9/15

maturity

7/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

Dependencies (7)

absl-py jmp numpy tabulate jax jaxlib flax

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/pypi/dm-haiku

dm-haiku

pypiv0.0.17

Haiku is a library for building neural networks in JAX.

License Apache 2.0permissive20 versions1 maintainers7 deps53,607 weekly dl

deepmind/dm-haiku

/ 100

Health

safe to use

[email protected] is safe to use (health: 76/100)

Health breakdown0 – 100

25/25

maintenance

10/20

popularity

25/25

security

9/15

maturity

7/15

community

Vulnerabilities

none known

Health History

Dependency Tree

License Audit

Dependencies (7)

absl-py jmp numpy tabulate jax jaxlib flax

API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/pypi/dm-haiku