Skip to main content

a distributed trainer to be able to train agents across a cluster of machines

Project description

Composabl

Composabl helps you build Autonomous Agents! Through an easy SDK you get access to outscaled simulator training tools.

Licenses / Seats

Composabl is an enterprise platform and requires an API key to use.

We offer 3 types of licenses:

  • Enterprise: for enterprise projects and agent creations
  • Personal: for personal usage and testing (typically offered to System Integrators)
  • Trial: validate the Composabl platform (requires sales contact person)

One key is needed per user (seat-based licensing)

You can request an API Key through the following methods:

Getting Started

  1. Download the Composabl SDK: pip install composabl
  2. Request an API Key
  3. Get a simulator or use one of the prebuilt ones
  4. Create an Agent or see our examples

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

composabl_train_dev-0.10.0.dev38-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (10.5 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

composabl_train_dev-0.10.0.dev38-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (10.4 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

composabl_train_dev-0.10.0.dev38-cp311-cp311-macosx_11_0_arm64.whl (1.7 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

composabl_train_dev-0.10.0.dev38-cp311-cp311-macosx_10_9_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

composabl_train_dev-0.10.0.dev38-cp311-cp311-macosx_10_9_universal2.whl (3.5 MB view details)

Uploaded CPython 3.11 macOS 10.9+ universal2 (ARM64, x86-64)

composabl_train_dev-0.10.0.dev38-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.4 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

composabl_train_dev-0.10.0.dev38-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (9.3 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

composabl_train_dev-0.10.0.dev38-cp310-cp310-macosx_11_0_arm64.whl (1.7 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

composabl_train_dev-0.10.0.dev38-cp310-cp310-macosx_10_9_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

composabl_train_dev-0.10.0.dev38-cp310-cp310-macosx_10_9_universal2.whl (3.5 MB view details)

Uploaded CPython 3.10 macOS 10.9+ universal2 (ARM64, x86-64)

File details

Details for the file composabl_train_dev-0.10.0.dev38-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for composabl_train_dev-0.10.0.dev38-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c5c94e14b1c3c0580c764d871f449c05cf2d41e32ff6d3020d10c8416b318e6d
MD5 316770877ba0fbefbec3ebaa5da0f319
BLAKE2b-256 a70df9dbde629f59b890718259721ae37464b8b43683bdc1219b1fe6d43a90b2

See more details on using hashes here.

Provenance

File details

Details for the file composabl_train_dev-0.10.0.dev38-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for composabl_train_dev-0.10.0.dev38-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 cde4bee47d703f0737e7879f6bb94dff0c25252dc452f00da866fd88a7f7a54a
MD5 7f66dd5c86f2e2bc8df5598b053e26e0
BLAKE2b-256 e25b725af5348c858c3572a0bb7406f08504abfeea4d635efa63f88c9ebbc9c2

See more details on using hashes here.

Provenance

File details

Details for the file composabl_train_dev-0.10.0.dev38-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for composabl_train_dev-0.10.0.dev38-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 018c3dad97f32a60628b5e00697242204148681c919409e0fc964e4d9a909333
MD5 bc307e738b2da6d67ba31402b65d7126
BLAKE2b-256 33797e286a5b7d32fb493d53e1cd3c1a98d438e8b98f6549333b5b48c68c15ea

See more details on using hashes here.

Provenance

File details

Details for the file composabl_train_dev-0.10.0.dev38-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for composabl_train_dev-0.10.0.dev38-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 d530cf67e3c06e1caa71360cae22aee11e9d6d46e63a331d89e8d049fcee6c28
MD5 940884cf098125cb008b00c8033f876b
BLAKE2b-256 c5598ae65300fc77c0873195a2dd63b46c414fdcb239cc5e5a2df696cbce5bba

See more details on using hashes here.

Provenance

File details

Details for the file composabl_train_dev-0.10.0.dev38-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for composabl_train_dev-0.10.0.dev38-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 78487c6aac30d7b4c4b491cf1e55a2c1831962d44219d06d43565f136e8298b7
MD5 8d16a54373d82aca7b364620f4541fd4
BLAKE2b-256 3a62b9fea7a750327c97df847f289a7db32a041f9c01486ba1f67800273155ff

See more details on using hashes here.

Provenance

File details

Details for the file composabl_train_dev-0.10.0.dev38-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for composabl_train_dev-0.10.0.dev38-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a28aa1a52b67ba72bb63abf73fc722cb7e4cb96d9d0196aff1d20a4be23646ee
MD5 d562c82f113389286dccfdad95cc0a60
BLAKE2b-256 c14c974212e750e04953d8740beb6b06a2a674e8d7a35e0427ae6ede22432295

See more details on using hashes here.

Provenance

File details

Details for the file composabl_train_dev-0.10.0.dev38-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for composabl_train_dev-0.10.0.dev38-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 b747a2b34da6b308feb8792882772bb8d1cf17734360a78f71647b00fbce9f92
MD5 aafcc8a4c49dd837add4c34d2da9ea44
BLAKE2b-256 316a650c686e94aef089b27f4f53ef840a9c413fe0d730b8e3480a83aeb46d6b

See more details on using hashes here.

Provenance

File details

Details for the file composabl_train_dev-0.10.0.dev38-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for composabl_train_dev-0.10.0.dev38-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 f2fbd34bea163ac0be9ac83ecc4baa0c19300ad95bb920b91e20771ef271b403
MD5 ab15f7f5595271f8d1bcdd9f7ec14a17
BLAKE2b-256 266190eecc5f720de0e592010a97bc6062c6ec20ecda09fcb57ba7958790ffca

See more details on using hashes here.

Provenance

File details

Details for the file composabl_train_dev-0.10.0.dev38-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for composabl_train_dev-0.10.0.dev38-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 1b22ce902a75a4ceb8a6b79632ca40f956a806ea9ee23fbf2d49cbfa3c99d01f
MD5 cff6c3ddcd5d7e7d04deaac2967af197
BLAKE2b-256 36a5753a125bee70de99149c5b19185e18afaca00a5479178eea55eb043023f6

See more details on using hashes here.

Provenance

File details

Details for the file composabl_train_dev-0.10.0.dev38-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for composabl_train_dev-0.10.0.dev38-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 1c75c629f39850eccbd5aa341bde1ef68288ecd5f995a1cdba1809582315ce2f
MD5 8e05e95570d9404b1e71a81f108c1265
BLAKE2b-256 c430064e6fa5c632c91e1ff16e758bd1dee80f87298023cea37a888ea74839fc

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page