Skip to main content

Net Python

The PyO3 extension for the Net mesh — a latency-first encrypted mesh where services and agents announce capabilities, discover each other, and invoke work over typed RPC.

Most people want net-mesh-sdk instead. That's the Pythonic wrapper — context managers, generators, typed channels, dataclass and Pydantic support — and it depends on this package. Use net-mesh directly when you want the raw binding, or need one of the few surfaces the wrapper doesn't re-export.

Docs: https://ai2070.net/docs/sdk/python/quickstart · Concepts

Install

pip install net-mesh

Publishes as net-mesh, imports as net.

Quickstart

from net import Net

with Net(num_shards=4) as bus:
    bus.ingest_raw('{"sensor": "lidar", "range_m": 12.5}')
    bus.ingest({"sensor": "radar", "range_m": 45.0})

    # Cursor-paginated. None starts from the earliest buffered event.
    resp = bus.poll(100)
    for event in resp.events:
        print("event", event)
    # resp.next_id -> pass back as `cursor` to page forward

    stats = bus.stats()
    print(stats.events_ingested, "ingested,", stats.events_dropped, "dropped")

Ingest returns once the event is accepted into the local ring buffer — acceptance, not delivery. Under backpressure events can drop; check events_dropped. See Submitted Is Not Completed.

What lives only here

The wrapper re-exports most of this module, with two notable exceptions you must import from net directly:

from net import RedisStreamDedup            # consumer-side dedup helper
from net import RpcTimeoutError, RpcError   # the nRPC error family

See Deduplication and Errors — the latter documents a trap worth knowing: without the nRPC feature compiled in, every Rpc*Error aliases down to Exception.

Cargo features

PyPI wheels ship every feature enabled, so this only matters for source builds via maturin develop, where a disabled feature's classes are simply absent from the module.

maturin develop --features "cortex meshdb meshos"

Claude Code Skill

Net looks like Kafka or NATS from the outside, and the model underneath is different enough that an agent working from surface familiarity will write integration code that runs and is quietly wrong. Install the skills first:

npx skills add ai-2070/net-claude-skill -g

Drop -g to install into the current project only. To update to the latest version:

npx skills update -g

Restart Claude Code and run /skillsnet-event-bus and net-payments should be listed. net-event-bus covers pub/sub, nRPC, the MCP bridge, organization capability auth, the gang-claim scheduler, and RedEX / CortEX / Dataforts. net-payments covers x402 pricing, quotes, settlement and spend policy. Full install options in Claude Skills.

What's in the box

Surface Guide
Event bus — shards, backpressure, Redis / JetStream Event bus
Mesh streams — direct peer-to-peer, windowed Mesh streams
Capabilities — announce and discover Discover and invoke
nRPC — typed request/response and streaming Typed RPC
Channels — hierarchical pub/sub with capability auth Channels
RedEX / CortEX / NetDB — logs, folds, queries Durable logs, Folds, NetDB
MeshDB — federated queries NetDB
Dataforts — blobs, greedy cache, data gravity Blob storage
Compute + Groups — daemons, migration, replica/fork/standby Daemons, Continuity
Deck — the operator surface Deck
Security — identity, delegable tokens, subnets Identity, Security model
Errors — the full exception hierarchy Errors

License

MIT OR Apache-2.0

Download files

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

Source Distribution

net_mesh-0.34.0.tar.gz (7.9 MB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

net_mesh-0.34.0-pp311-pypy311_pp73-manylinux_2_28_x86_64.whl (8.1 MB view details)

Uploaded PyPymanylinux: glibc 2.28+ x86-64

net_mesh-0.34.0-pp311-pypy311_pp73-manylinux_2_28_aarch64.whl (7.8 MB view details)

Uploaded PyPymanylinux: glibc 2.28+ ARM64

net_mesh-0.34.0-cp315-cp315t-manylinux_2_28_x86_64.whl (8.1 MB view details)

Uploaded CPython 3.15tmanylinux: glibc 2.28+ x86-64

net_mesh-0.34.0-cp315-cp315-manylinux_2_28_x86_64.whl (8.1 MB view details)

Uploaded CPython 3.15manylinux: glibc 2.28+ x86-64

net_mesh-0.34.0-cp314-cp314t-manylinux_2_28_x86_64.whl (8.1 MB view details)

Uploaded CPython 3.14tmanylinux: glibc 2.28+ x86-64

net_mesh-0.34.0-cp314-cp314t-manylinux_2_28_aarch64.whl (7.8 MB view details)

Uploaded CPython 3.14tmanylinux: glibc 2.28+ ARM64

net_mesh-0.34.0-cp314-cp314-win_arm64.whl (6.7 MB view details)

Uploaded CPython 3.14Windows ARM64

net_mesh-0.34.0-cp314-cp314-win_amd64.whl (7.2 MB view details)

Uploaded CPython 3.14Windows x86-64

net_mesh-0.34.0-cp314-cp314-manylinux_2_28_x86_64.whl (8.1 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.28+ x86-64

net_mesh-0.34.0-cp314-cp314-manylinux_2_28_aarch64.whl (7.8 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.28+ ARM64

net_mesh-0.34.0-cp314-cp314-macosx_11_0_arm64.whl (7.1 MB view details)

Uploaded CPython 3.14macOS 11.0+ ARM64

net_mesh-0.34.0-cp314-cp314-macosx_10_12_x86_64.whl (7.8 MB view details)

Uploaded CPython 3.14macOS 10.12+ x86-64

net_mesh-0.34.0-cp313-cp313-win_arm64.whl (6.7 MB view details)

Uploaded CPython 3.13Windows ARM64

net_mesh-0.34.0-cp313-cp313-win_amd64.whl (7.2 MB view details)

Uploaded CPython 3.13Windows x86-64

net_mesh-0.34.0-cp313-cp313-manylinux_2_28_x86_64.whl (8.1 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.28+ x86-64

net_mesh-0.34.0-cp313-cp313-manylinux_2_28_aarch64.whl (7.8 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.28+ ARM64

net_mesh-0.34.0-cp313-cp313-macosx_11_0_arm64.whl (7.1 MB view details)

Uploaded CPython 3.13macOS 11.0+ ARM64

net_mesh-0.34.0-cp313-cp313-macosx_10_12_x86_64.whl (7.8 MB view details)

Uploaded CPython 3.13macOS 10.12+ x86-64

net_mesh-0.34.0-cp312-cp312-win_arm64.whl (6.7 MB view details)

Uploaded CPython 3.12Windows ARM64

net_mesh-0.34.0-cp312-cp312-win_amd64.whl (7.2 MB view details)

Uploaded CPython 3.12Windows x86-64

net_mesh-0.34.0-cp312-cp312-manylinux_2_28_x86_64.whl (8.1 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.28+ x86-64

net_mesh-0.34.0-cp312-cp312-manylinux_2_28_aarch64.whl (7.8 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.28+ ARM64

net_mesh-0.34.0-cp312-cp312-macosx_11_0_arm64.whl (7.1 MB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

net_mesh-0.34.0-cp312-cp312-macosx_10_12_x86_64.whl (7.8 MB view details)

Uploaded CPython 3.12macOS 10.12+ x86-64

net_mesh-0.34.0-cp311-cp311-win_arm64.whl (6.7 MB view details)

Uploaded CPython 3.11Windows ARM64

net_mesh-0.34.0-cp311-cp311-win_amd64.whl (7.2 MB view details)

Uploaded CPython 3.11Windows x86-64

net_mesh-0.34.0-cp311-cp311-manylinux_2_28_x86_64.whl (8.1 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.28+ x86-64

net_mesh-0.34.0-cp311-cp311-manylinux_2_28_aarch64.whl (7.8 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.28+ ARM64

net_mesh-0.34.0-cp311-cp311-macosx_11_0_arm64.whl (7.1 MB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

net_mesh-0.34.0-cp311-cp311-macosx_10_12_x86_64.whl (7.8 MB view details)

Uploaded CPython 3.11macOS 10.12+ x86-64

net_mesh-0.34.0-cp310-cp310-win_amd64.whl (7.2 MB view details)

Uploaded CPython 3.10Windows x86-64

net_mesh-0.34.0-cp310-cp310-manylinux_2_28_x86_64.whl (8.1 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.28+ x86-64

net_mesh-0.34.0-cp310-cp310-manylinux_2_28_aarch64.whl (7.8 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.28+ ARM64

File details

Details for the file net_mesh-0.34.0.tar.gz.

File metadata

  • Download URL: net_mesh-0.34.0.tar.gz
  • Upload date:
  • Size: 7.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for net_mesh-0.34.0.tar.gz
Algorithm Hash digest
SHA256 9efbd2149feea62229603e8259ae022843b4192018c08ab1499aae43cf4baf0d
MD5 eb4fa6b9db9ed97430edd39517e9484d
BLAKE2b-256 923235806d66e1bfd035b21dc1b3e3eab74734bb3fce9a03bf6fca46cba72f88

See more details on using hashes here.

File details

Details for the file net_mesh-0.34.0-pp311-pypy311_pp73-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for net_mesh-0.34.0-pp311-pypy311_pp73-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 7c8da08da6e71a5aa7a82846fc737040656695eb726a0642958f41ead444d4be
MD5 23aa9f753094e8366eb59b3413e20f09
BLAKE2b-256 959b071fe30147273821a463cf7bc2c2dcf60d65b4a9f7d397641265150dc9f0

See more details on using hashes here.

File details

Details for the file net_mesh-0.34.0-pp311-pypy311_pp73-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for net_mesh-0.34.0-pp311-pypy311_pp73-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 3bcb1e3480d1a3a8de054a9e4c2598473b19faaba597a7fc007d521f6c6aab52
MD5 be3e92a916269dc015cdbf7145122d39
BLAKE2b-256 a2a3161bda0eab70d1e5f97482205564e43b8a83601967d40c97214956d4a177

See more details on using hashes here.

File details

Details for the file net_mesh-0.34.0-cp315-cp315t-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for net_mesh-0.34.0-cp315-cp315t-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 7b721c4bf39bbc2b315e1fe0a5621d61375cd176ef022c76a88d9b5e67c67450
MD5 e6ac9741bac108bc203bdd5774cd1aaf
BLAKE2b-256 0cde6376edaacd199457c2a4b95038e3d99e246b1c658d99593c2e3091b2a5f9

See more details on using hashes here.

File details

Details for the file net_mesh-0.34.0-cp315-cp315-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for net_mesh-0.34.0-cp315-cp315-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 b9ac7f718960cc6e61c327582dd4ae16bc3d0781b549fc6a4b93fc7783ca44c7
MD5 ee73273c435a6e8e83b89302583dcd51
BLAKE2b-256 5f19b9db1b4a858fa1ad1d9a274813defe873256193f5970467dd01beee292c0

See more details on using hashes here.

File details

Details for the file net_mesh-0.34.0-cp314-cp314t-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for net_mesh-0.34.0-cp314-cp314t-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 6127954ba10f045a32488bbfce76d4f91b595af384ec91f576c5372892408bf4
MD5 838d3cbb6b7a2f3e2e585ea77aca2c19
BLAKE2b-256 28431adf586c945f2e4f8d42c050bbc76631242aed5b4596ae4fac392e8a8044

See more details on using hashes here.

File details

Details for the file net_mesh-0.34.0-cp314-cp314t-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for net_mesh-0.34.0-cp314-cp314t-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 2b97822760bcf395809dd6fca47c4c5cb15b45baccfcf4904da89e4d5e9d36da
MD5 e5d1e888a7e2ecc93225db963995ab6e
BLAKE2b-256 67bd6722e5ba4360164ef3ac6f2843fbef18cf35486f65d30813f0df54af2b40

See more details on using hashes here.

File details

Details for the file net_mesh-0.34.0-cp314-cp314-win_arm64.whl.

File metadata

  • Download URL: net_mesh-0.34.0-cp314-cp314-win_arm64.whl
  • Upload date:
  • Size: 6.7 MB
  • Tags: CPython 3.14, Windows ARM64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for net_mesh-0.34.0-cp314-cp314-win_arm64.whl
Algorithm Hash digest
SHA256 1339d3506769865cc73754e45ad1967da636d961e0eb00378c3f8295b3b5fe47
MD5 c4cda51080859d394a2f12ad86b77c0f
BLAKE2b-256 7d385e3f76b1e1fe114c09a9e050b4d92f613ebe4a25f404241a7f82dc714402

See more details on using hashes here.

File details

Details for the file net_mesh-0.34.0-cp314-cp314-win_amd64.whl.

File metadata

  • Download URL: net_mesh-0.34.0-cp314-cp314-win_amd64.whl
  • Upload date:
  • Size: 7.2 MB
  • Tags: CPython 3.14, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for net_mesh-0.34.0-cp314-cp314-win_amd64.whl
Algorithm Hash digest
SHA256 e91c625926cddc32bff203bc70c22520ec293bca2fd8422cf6d2b36e4952198e
MD5 c0d4e893191759fca28e54624c057963
BLAKE2b-256 431a4c0b521b754c68ea6acf2bc4f0d69629d864643a30e340df3457227e9fb7

See more details on using hashes here.

File details

Details for the file net_mesh-0.34.0-cp314-cp314-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for net_mesh-0.34.0-cp314-cp314-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 80afe00526f711eaa3872e4b3381f9e8d8d24be5945f44fdc334a01d8bd279a5
MD5 141234c91aecdd436b853230e3dea799
BLAKE2b-256 c87a3152ec090e26635580b2c1800193c79c5097ef276adc1ebf18b003b435cb

See more details on using hashes here.

File details

Details for the file net_mesh-0.34.0-cp314-cp314-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for net_mesh-0.34.0-cp314-cp314-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 32cb2a2de2d33876e1959ee4636cc04a17c7f58d7277492f66a11f29c9228bf2
MD5 e248b57e8c07f36a2e77ae7bc5dbc93b
BLAKE2b-256 038e41c4687c6ca90fc62e1e30e7d4b7ee074c28583ef5bff8a2ea348033f8e9

See more details on using hashes here.

File details

Details for the file net_mesh-0.34.0-cp314-cp314-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for net_mesh-0.34.0-cp314-cp314-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 73a0f296105526560df6918d73bffd3b509c03b3a45bf57873b96467dac4d587
MD5 26e7b6451dd29f620143f9a3b03a30e7
BLAKE2b-256 61ddce757a30f66be4b19425382554c2a3d1414355a096c9a165797547859550

See more details on using hashes here.

File details

Details for the file net_mesh-0.34.0-cp314-cp314-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for net_mesh-0.34.0-cp314-cp314-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 ce17f4306c513b6724d8a07e99aaa9d5656c19b2dcf323a142ce9037e54a6296
MD5 8e122d043192e6505b8e21b68cff8780
BLAKE2b-256 6dce7134594f0e3ef468ac0ed8306602a3b262aeede056022b9b028716fcb1e3

See more details on using hashes here.

File details

Details for the file net_mesh-0.34.0-cp313-cp313-win_arm64.whl.

File metadata

  • Download URL: net_mesh-0.34.0-cp313-cp313-win_arm64.whl
  • Upload date:
  • Size: 6.7 MB
  • Tags: CPython 3.13, Windows ARM64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for net_mesh-0.34.0-cp313-cp313-win_arm64.whl
Algorithm Hash digest
SHA256 6308f6f288f151fdd2736edf6ec0cc266fe81bdfdf1b62dda41493589ed1ce6c
MD5 42c9af59daf56036078659409fb9ad88
BLAKE2b-256 9cb033b0a3be2e31ed8781ed0fe3f9e0992e261b9c6f69e45c4833c310943973

See more details on using hashes here.

File details

Details for the file net_mesh-0.34.0-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: net_mesh-0.34.0-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 7.2 MB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for net_mesh-0.34.0-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 e2715f738f1321c420effa449192680b9ca3fa6b2e3994f949851ee7bfc42377
MD5 fa737bc557975542e581d3fe0a7d3433
BLAKE2b-256 a9615b8fedef6d9e831eed53fc8e041679e4d1e0a6c53ac9755a375a381fc7f4

See more details on using hashes here.

File details

Details for the file net_mesh-0.34.0-cp313-cp313-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for net_mesh-0.34.0-cp313-cp313-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 487bb7879111f8e1cc8cdcca13b264fc8a43577cd8bf281af6af54239ebfd9a7
MD5 3f19b16c5db0e66ad6158817f3e32167
BLAKE2b-256 c33b766087c37bfa82d4628102c87f41d716b1a7da09d8954f8743604d4df832

See more details on using hashes here.

File details

Details for the file net_mesh-0.34.0-cp313-cp313-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for net_mesh-0.34.0-cp313-cp313-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 85167b0e45c693f963c5212626efcd7b10cd120dd7d6cd1f84317d7fef24a8e4
MD5 39f620087259a57798219992231c0ff4
BLAKE2b-256 20e05df3f578af814f74b7efb92e438fc0c03e13b78eaa2836125ef4beb7da9c

See more details on using hashes here.

File details

Details for the file net_mesh-0.34.0-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for net_mesh-0.34.0-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 9ef00112d51dddf5c793753f5b7d9d3d75b4d4246c0b16bb4d413e62166e2e12
MD5 029bc7a978886ac7e2037a2a39ae585e
BLAKE2b-256 4621a65fef8b02450e664bc7e6b42d193b0e0b2cc07e5ce5ed97c1c8d3009400

See more details on using hashes here.

File details

Details for the file net_mesh-0.34.0-cp313-cp313-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for net_mesh-0.34.0-cp313-cp313-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 506e930309bbd008f390124405470f6c204865def6320054bf9471f483b4da4f
MD5 2f5190b0fbbbc4c3d65479e22dfa5507
BLAKE2b-256 64305e88d9ad7b8dd10bbde7a56397c74eb596e665a7a55f0fb8cc38a49b257d

See more details on using hashes here.

File details

Details for the file net_mesh-0.34.0-cp312-cp312-win_arm64.whl.

File metadata

  • Download URL: net_mesh-0.34.0-cp312-cp312-win_arm64.whl
  • Upload date:
  • Size: 6.7 MB
  • Tags: CPython 3.12, Windows ARM64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for net_mesh-0.34.0-cp312-cp312-win_arm64.whl
Algorithm Hash digest
SHA256 84847489b43b2d1cdf7b4f28c50d1972ddece39cdada6bb72b75f5cc232b7de1
MD5 49480ba875b454fcc620e12102e2e6ed
BLAKE2b-256 bbb4b701c0618b88e373bf47451a6dc2d7bc0210d523641d136aacc336f6a82e

See more details on using hashes here.

File details

Details for the file net_mesh-0.34.0-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: net_mesh-0.34.0-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 7.2 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for net_mesh-0.34.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 a5a83d2e3dda8059f303e40966ff44aa0f6643ab852e66f05a8e63910667a3ab
MD5 147cdaa9435f037881af1af08362e2ea
BLAKE2b-256 bf4ce28974f09e2dfac4429e45dbf8eebc82ed200b364682b47552139675a73e

See more details on using hashes here.

File details

Details for the file net_mesh-0.34.0-cp312-cp312-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for net_mesh-0.34.0-cp312-cp312-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 9992d603933eb61ea6a64291ae1e9793907f6bbc14ce747f43b466483414c06d
MD5 445fe640cfa86b7c26ffb3b2ec9ae307
BLAKE2b-256 39e84696bd069cad774f2526ea56902b32592679ed054fe05bce59552954a553

See more details on using hashes here.

File details

Details for the file net_mesh-0.34.0-cp312-cp312-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for net_mesh-0.34.0-cp312-cp312-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 4ff7e8ee609f9d37a2370cf892986d87dd7620534ed2c88cca7dd6da5375bf4a
MD5 abc44c753361bbe0eda8dae6edf8106f
BLAKE2b-256 f23ecac370c511a2d2dc3174ae76d070167c97021a6b401e7010c09f037fa575

See more details on using hashes here.

File details

Details for the file net_mesh-0.34.0-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for net_mesh-0.34.0-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 923e68f6890eca005a63d0dd5d0c6e24851d3e9626bbfe360675cc414f140181
MD5 aae329f59a527d866d73b822d9e11e1b
BLAKE2b-256 bb8cb802f701baa67a72349cdee6f08158ae7bba7ea98b8e45207e32cfe6e9e9

See more details on using hashes here.

File details

Details for the file net_mesh-0.34.0-cp312-cp312-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for net_mesh-0.34.0-cp312-cp312-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 d63fb56cd47663fefe632a5e5e38a6d6c757348d2685c41014e70b8e9c9ecb7a
MD5 838fd1a40bea198740811de4d7f72324
BLAKE2b-256 d5582542c72fa3d36c5e03bc6aa5613c9a79503b509790d697e1018500e5c9f9

See more details on using hashes here.

File details

Details for the file net_mesh-0.34.0-cp311-cp311-win_arm64.whl.

File metadata

  • Download URL: net_mesh-0.34.0-cp311-cp311-win_arm64.whl
  • Upload date:
  • Size: 6.7 MB
  • Tags: CPython 3.11, Windows ARM64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for net_mesh-0.34.0-cp311-cp311-win_arm64.whl
Algorithm Hash digest
SHA256 210c9a0e3e46c33fa537706552dea5f8994f17b1002a23ff41626e308c651ed9
MD5 9ac9f5dba3502814f0adf1b9510e42fe
BLAKE2b-256 d2f2c15e395a16bbccf2d7d8147df4774acbb14adc40230c68e21094588ff579

See more details on using hashes here.

File details

Details for the file net_mesh-0.34.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: net_mesh-0.34.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 7.2 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for net_mesh-0.34.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 fa3dfa80131384dab85572918859db5ce295d40aed00627a60f00e8577e1ab0f
MD5 8662b5bb12f334102b1a2e07cb0cd579
BLAKE2b-256 98ffe29fa1bf1e1ce3aa40274e095393652f667c38f043029a181fce14bc0d6a

See more details on using hashes here.

File details

Details for the file net_mesh-0.34.0-cp311-cp311-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for net_mesh-0.34.0-cp311-cp311-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 d95332933f02917c57bb33d99845f0cd02440ebd2ccd66bcb055ea5bbefa72b0
MD5 604859ae99c95704c354c64996ac851c
BLAKE2b-256 753cfdcada92d9e955e5cdcad460e308463dbf71d5151ad3a43446905d8ef9c3

See more details on using hashes here.

File details

Details for the file net_mesh-0.34.0-cp311-cp311-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for net_mesh-0.34.0-cp311-cp311-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 ad095b46f91faafc813deb1a5983df6f4d6ac7f7f36ff39d222633fa7289bd1d
MD5 64e5df735ce7a37229496d5099fc14ab
BLAKE2b-256 a071dc619f0019480480b48f8f6b82311617700329b981a72090ff4514af9a0e

See more details on using hashes here.

File details

Details for the file net_mesh-0.34.0-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for net_mesh-0.34.0-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 f3929eb6f503aecb8f7b22d4e609bd69f71dd94b61c210265158f06c10b2a322
MD5 7e3e24b0974b5b24d8aeade35cc296b5
BLAKE2b-256 5131992da2b5f9dfb0a7d83cdf315dda5b4802a184ba208727f0cab59029347b

See more details on using hashes here.

File details

Details for the file net_mesh-0.34.0-cp311-cp311-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for net_mesh-0.34.0-cp311-cp311-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 084b7d0617a5f85bcbf94dc0881c6aa3c48c35784f0f420d88192fd1ee05579e
MD5 2c4f96faf4506e1c9490edea476ca20c
BLAKE2b-256 3f65be5b377740ad55ce710c3d3cbb5bebbd7b7cb2c64892d5b3020b806ea035

See more details on using hashes here.

File details

Details for the file net_mesh-0.34.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: net_mesh-0.34.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 7.2 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for net_mesh-0.34.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 3036be8b773a678cb2fbae5c5aca08a570b6fa8ae699be394cee599488abc600
MD5 7df43894bae9e7f2e0771961c969d9a8
BLAKE2b-256 33e00f143661eda7ba073445312a4fd3cbdbcf52a2a5af1389647ebd9602a4ad

See more details on using hashes here.

File details

Details for the file net_mesh-0.34.0-cp310-cp310-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for net_mesh-0.34.0-cp310-cp310-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 c92a882faff562e6f0027c8276592ae59984b64d8f930b1322b57827b2b227dd
MD5 b7d37dea140b4fbe16a50f9a1a020f65
BLAKE2b-256 a616cfbf4a2f16621cee3fc9e38be67480873f8933696115d1929f8b308ddd10

See more details on using hashes here.

File details

Details for the file net_mesh-0.34.0-cp310-cp310-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for net_mesh-0.34.0-cp310-cp310-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 d1ca69206a55e4ffe1d5894c64fcde382d49f10a9f56906b0c2f86f417e41f0f
MD5 19893b1825ec1c82cf96458bf05be953
BLAKE2b-256 3a6e15144bd62a0ca44100233b4e78eac7fa2372addce4b086ab13de906daede

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page