paker
Import Python packages — including native C extensions — from encrypted JSON documents. Entirely in memory. Zero disk footprint.1
1. Platform-dependent. See disk_policy for details.
Features
- In-memory module loading — load
.py,.pyc,.so,.pyd, and.dllmodules from JSON without writing to disk - AES-256 encryption — modules are encrypted at rest, decrypted in C-level buffers that never touch the Python heap
- Key separated from payload — the decryption key is delivered at runtime from your own channel (license server, user secret, HSM). A captured bundle is entropy without a live key
- Cross-platform native loaders —
memfd_createon Linux,write→dlopen→unlinkon macOS, in-memory PE loading on Windows - Bundled native deps — packages like Pillow and numpy that ship
.dylibs//.libs/alongside their extensions work end-to-end - Resource files —
importlib.resourcesreads from the bundle, including memory-backed paths for C-levelfopencallers (OpenSSL reading certifi) - User-defined transform hooks — plug your own AST or code-object pass into the pack pipeline (obfuscation, docstring stripping, custom bytecode)
- Zero-install delivery — ship entire dependency trees over the network to machines with nothing but Python installed
- PyInstaller compatible — build standalone binaries that load libraries at runtime
Quick start
pip install paker
Pack and load in one process
import paker
# 32-byte key. Use os.urandom(32) in real code.
KEY = b"\x42" * 32
# Encrypt `myapp` and its dependencies into a JSON-serializable dict.
bundle = paker.dumps("myapp", key=KEY, include_deps=True)
# Later, possibly elsewhere, hand the key and bundle back to paker.
with paker.loads(bundle, key=KEY):
import myapp
myapp.run()
The original package doesn't need to be installed on the loading side. paker's importer takes priority over the filesystem.
Pack on dev, load on production
# pack.py — run once, on a trusted machine.
import json
import paker
key = open("release.key", "rb").read() # your secret, your channel
bundle = paker.dumps("myapp", key=key, include_deps=True)
json.dump(bundle, open("app.paker", "w"))
# Ship `app.paker` to production. The key stays behind.
# load.py — production. No application source on disk.
import json
import sys
import paker
bundle = json.load(open("app.paker"))
key = sys.stdin.buffer.read(32) # key arrives out of band
with paker.loads(bundle, key=key):
import myapp
myapp.run()
Runtime key delivery (license server pattern)
import os
import paker
import requests
def fetch_key(license_id: str) -> bytes:
# Your license server returns a 32-byte key tied to this session.
# paker does not ship this server — you build it.
resp = requests.post(
"https://license.example.com/key",
json={"license": license_id},
)
return resp.content
bundle = json.load(open("app.paker"))
key = fetch_key(os.environ["LICENSE_ID"])
with paker.loads(bundle, key=key):
import myapp
myapp.run()
# Key is scrubbed from memory when the context manager exits.
Load directly from a dict
import paker
modules = {
"mylib": {
"type": "module",
"extension": "py",
"code": "def greet(name):\n return f'Hello, {name}!'\n",
}
}
with paker.loads(modules) as imp:
import mylib
print(mylib.greet("world"))
Portability note: With the default compile=False, pure Python modules
are stored as source and work across any CPython 3.10+ version. With
compile=True, bytecode is tied to the CPython minor version it was packed
on. Native extensions (.so, .pyd) are always tied to the OS and Python
version.
Transform hooks
paker does not ship obfuscation. When you want one, pass your own callable:
import ast
import paker
def strip_docstrings(tree: ast.AST, module_name: str) -> ast.AST:
"""User-defined AST pass. Runs after ast.parse."""
for node in ast.walk(tree):
if isinstance(node, (ast.FunctionDef, ast.AsyncFunctionDef,
ast.ClassDef, ast.Module)):
if (node.body and isinstance(node.body[0], ast.Expr)
and isinstance(node.body[0].value, ast.Constant)
and isinstance(node.body[0].value.value, str)):
node.body.pop(0)
return tree
bundle = paker.dumps("myapp", key=KEY, ast_transform=strip_docstrings)
code_transform runs between compile and marshal for bytecode-level
transforms (requires compile=True). See
examples/basic/ast_transform_hook.py.
By default, .py source is stored as-is. When ast_transform or
strip_annotations is set, paker reparses and writes ast.unparse'd source.
This makes bundles portable across Python versions (3.10+). Pass
compile=True to store pre-compiled bytecode instead — faster load, but tied
to the CPython minor version that packed it.
Automatic dependency bundling
Bundle a package with all its transitive dependencies in a single call:
import paker
import json
key = b"\x42" * 32
# Auto-discovers and bundles anthropic + httpx + pydantic + more.
bundle = paker.dumps("anthropic", key=key, include_deps=True)
json.dump(bundle, open("bundle.json", "w"))
Dependencies are resolved via importlib.metadata. Use exclude_deps for
packages you don't want shipped:
bundle = paker.dumps(
"anthropic", key=key, include_deps=True, exclude_deps={"certifi"},
)
Resource files
Non-Python files (JSON data, PEM certs, templates) that ship with a package
are packed alongside its code. Libraries that use importlib.resources or
pkgutil.get_data find them transparently:
# Inside a paker-loaded package — no code change needed.
from importlib import resources
data = resources.files("mypkg").joinpath("data/config.json").read_bytes()
Libraries that build raw filesystem paths with os.path.dirname(__file__) and
pass them to open() (e.g. boto3) are handled automatically — paker installs
a lightweight builtins.open / os.path.* shim by default that routes
paker:// paths to the bundle. Pass virtual_fs=False to loads() to
disable. See docs/architecture.md.
PyInstaller
paker includes a PyInstaller hook. Build standalone binaries that load libraries at runtime:
pip install paker pyinstaller
pyinstaller --onefile my_app.py
The resulting binary contains only paker + stdlib. Libraries arrive encrypted at runtime. See docs/pyinstaller.md for details.
Tested packages
Dump + encrypt + load roundtrip verified with:
| Package | Type | Status |
|---|---|---|
| anthropic | Pure Python + deps | OK |
| boto3 | Pure Python + raw open() on data files (needs virtual_fs) |
OK |
| click | Pure Python | OK |
| fastapi | Pure Python + deps | OK |
| flask | Pure Python + deps | OK |
| jinja2 | Pure Python | OK |
| mcp | Pure Python + deps | OK |
| numpy | Native extensions | OK |
| Pillow | Native extensions + bundled dylibs | OK |
| psutil | Native per-platform | OK |
| pydantic | Pure Python + C core | OK |
| pynput | Native + PyObjC/X11 | OK |
| pyyaml | Pure Python + C | OK |
| requests | Pure Python | OK |
| rich | Pure Python | OK |
| pypdfium2 | Native + ctypes | OK |
| sqlalchemy | Pure Python + C | OK |
API reference
Dump
paker.dump(
module, fp, *,
key=None, compile=False, skip_modules=None, indent=None,
include_deps=False, exclude_deps=None, include_resources=True,
include_native_libs=True, strip_metadata=True, strip_annotations=False,
ast_transform=None, code_transform=None,
on_import_error=ImportErrorPolicy.AUTO,
)
paker.dumps(
module, *,
key=None, compile=False, skip_modules=None,
include_deps=False, exclude_deps=None,
include_resources=True, include_native_libs=True,
strip_metadata=True, strip_annotations=False,
ast_transform=None, code_transform=None,
on_import_error=ImportErrorPolicy.AUTO,
) -> dict
Load
paker.load(
fp, overwrite=False, key=None,
disk_policy=None, virtual_fs=True,
) -> JsonImporter
paker.loads(
data, overwrite=False, key=None,
disk_policy=None, virtual_fs=True,
) -> JsonImporter
data can be a dict, str, bytes, or bytearray.
disk_policy controls whether paker writes to disk at runtime:
"memory"(default) — never write to disk"auto"— allow disk when the platform requires it"disk"— always use the OS loader via temp files
Context manager
with paker.loads(data, key=key) as imp:
import my_module # available inside this block
# my_module is unloaded here; key bytearray is scrubbed.
Virtual filesystem
Installed automatically by loads(). Opt out with virtual_fs=False:
paker.loads(data, key=key, virtual_fs=False)
Or use the context manager directly for fine-grained control:
with paker.virtual_fs():
import boto3 # builtins.open + os.path.* route paker:// paths to the bundle
Examples
See the examples/ directory:
Basics:
dump_and_load.py— serialize and load modules from JSONencryption.py— AES-256 encrypted modulesast_transform_hook.py— plug a user-defined AST pass into the pipelinebundle_with_deps.py— auto-discover and bundle dependenciescli_usage.py— command-line interface
Real packages:
psutil_system_info.py— system monitoring from an encrypted bundlerequests_http.py— HTTP requests from a bundlenumpy_compute.py— numpy with native extensions from a bundlepydantic_models.py— data validation with auto-bundled deps
Advanced:
ip_protection/— end-to-end IP protection. A vendor packs a proprietary algorithm, a mock license server hands out per-session keys, a customer runs it without the source ever reaching disk. Includes anattack.pythat walks through the static attack surfaces a bundle-only adversary would try.remote_agent/— drive an AI agent on a zero-install client: the server holds the Anthropic API key, packs libraries on demand, and ships{libraries, code}over TCP on every tool call. The client imports bundles as they arrive and executes code against a persistent globals dict.
Security
See docs/security.md for a detailed analysis of paker's security model — what it protects, what it doesn't, what an attacker sees at each layer, and recommendations for maximum protection.
License
MIT. The vendored MemoryModule.c is MPL-2.0. The vendored tiny-AES-c is
public domain.
1 maintainer
Metadata
1 maintainer
Release files for paker 2.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| paker-2.0.0.tar.gz | 118.6 kB | Details |
Built distributions (wheels)
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| Tags | CPython 3.10 Windows x86-64 |
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Transparency logRelease files / paker-2.0.0-cp310-cp310-musllinux_1_2_x86_64.whl
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| Tags | CPython 3.10 Linux musl 1.2+ x86-64 |
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| Size | 93.3 kB |
| Tags | CPython 3.10 Linux musl 1.2+ ARM64 |
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Transparency logRelease files / paker-2.0.0-cp310-cp310-manylinux_2_26_x86_64.manylinux_2_28_x86_64.whl
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| Tags | CPython 3.10 Linux glibc 2.26+ x86-64 Linux glibc 2.28+ x86-64 |
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| Size | 97.7 kB |
| Tags | CPython 3.10 Linux glibc 2.26+ ARM64 Linux glibc 2.28+ ARM64 |
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| Download URL | paker-2.0.0-cp310-cp310-macosx_11_0_arm64.whl |
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| Size | 71.3 kB |
| Tags | CPython 3.10 macOS 11.0+ ARM64 |
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| Size | 71.7 kB |
| Tags | CPython 3.10 macOS 10.9+ x86-64 |
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