Skip to main content

jammi-ai-native

The compiled, in-process Jammi engine — the jammi_native PyO3 extension, packaged as a standalone wheel.

import jammi_native

db = jammi_native.open_local(artifact_dir="/data")

jammi-ai-native is the engine .so and nothing else. Most users install jammi-ai instead — the base Python client (import jammi) whose single connect(target) dispatches file:// targets to this engine (pulled in via its [embedded] extra) and remote targets to the gRPC transport. This dist exists so that lean deployments (for example a client that opts into an embedded engine) can depend on the compiled engine directly.

The dist ships in lockstep at the shared workspace version with jammi-ai and jammi-server.

Metadata

Release files for jammi-ai-native 0.54.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for jammi-ai-native 0.54.0
File
jammi_ai_native-0.54.0-cp39-abi3-manylinux_2_28_x86_64.whl CPython 3.9 abi3 Linux glibc 2.28+ x86-64 Details
jammi_ai_native-0.54.0-cp39-abi3-manylinux_2_28_aarch64.whl CPython 3.9 abi3 Linux glibc 2.28+ ARM64 Details
jammi_ai_native-0.54.0-cp39-abi3-macosx_11_0_arm64.whl CPython 3.9 abi3 macOS 11.0+ ARM64 Details
jammi_ai_native-0.54.0-cp39-abi3-macosx_10_12_x86_64.whl CPython 3.9 abi3 macOS 10.12+ x86-64 Details

Total release size: 200.9 MB

Release files / jammi_ai_native-0.54.0-cp39-abi3-manylinux_2_28_x86_64.whl

Download URL jammi_ai_native-0.54.0-cp39-abi3-manylinux_2_28_x86_64.whl
Size 54.9 MB
Tags CPython 3.9 Linux glibc 2.28+ x86-64 abi3
SHA-256 checksum
How to use checksums
475ba086db08f2e059245503c9eb69722645d7a59eafedf3b12766880a0a8dfb
BLAKE2b-256 checksum
How to use checksums
3db825662106b69c4fcbdf8c507bd17aa51f751d1870bf5b1598fb46f389ca26
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 3, 2026.

Transparency log

Release files / jammi_ai_native-0.54.0-cp39-abi3-manylinux_2_28_aarch64.whl

Download URL jammi_ai_native-0.54.0-cp39-abi3-manylinux_2_28_aarch64.whl
Size 51.4 MB
Tags CPython 3.9 Linux glibc 2.28+ ARM64 abi3
SHA-256 checksum
How to use checksums
e19ed708cf3f2cd44fe92651c486c979e14457e15d19d599e95b9132149e706f
BLAKE2b-256 checksum
How to use checksums
4db208d2ea1747b2ca128765cd659481446f40f378cc17a56a5605b4d3d3ac12
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 3, 2026.

Transparency log

Release files / jammi_ai_native-0.54.0-cp39-abi3-macosx_11_0_arm64.whl

Download URL jammi_ai_native-0.54.0-cp39-abi3-macosx_11_0_arm64.whl
Size 45.7 MB
Tags CPython 3.9 abi3 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
86072f278bdef64920854a379d9e50e0d635608d58f67ea6dbe0771d5ca8fd59
BLAKE2b-256 checksum
How to use checksums
5dc990b2922028b0d63a1d073ba47a361f281f0f6fd0480fa2394d0080a0273c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 3, 2026.

Transparency log

Release files / jammi_ai_native-0.54.0-cp39-abi3-macosx_10_12_x86_64.whl

Download URL jammi_ai_native-0.54.0-cp39-abi3-macosx_10_12_x86_64.whl
Size 49.0 MB
Tags CPython 3.9 abi3 macOS 10.12+ x86-64
SHA-256 checksum
How to use checksums
94c03e799276c2c7f1af33062160598d19af29cb68875920191e7070c4db1024
BLAKE2b-256 checksum
How to use checksums
96f88bedb5957e1414bddd01d48ad266c1500d7e0bcccd8b8d5f48efa5733d6e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 3, 2026.

Transparency log
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page