Skip to main content

zipstream-ng

Status Version Python

A modern and easy to use streamable zip file generator. It can package and stream many files and folders into a zip on the fly without needing temporary files or excessive memory. It can also calculate the final size of the zip file before streaming it.

Features:

  • Generates zip data on the fly as it's requested.
  • Can calculate the total size of the resulting zip file before generation even begins.
  • Low memory usage: Since the zip is generated as it's requested, very little has to be kept in memory (peak usage of less than 20MB is typical, even for TBs of files).
  • Performant: On-par or faster than using the standard library to create non-streamed zip files.
  • Flexible API: Typical use cases are simple, complicated ones are possible.
  • Supports zipping data from files, bytes, strings, and any other iterable objects.
  • Keeps track of the date of the most recently modified file added to the zip file.
  • Threadsafe: Won't mangle data if multiple threads concurrently add data to the same stream.
  • Includes a clone of Python's http.server module with zip support added. Try python -m zipstream.server.
  • Automatically uses Zip64 extensions, but only if they are required.
  • No external dependencies.

Ideal for web backends:

  • Generating zip data on the fly requires very little memory, no disk usage, and starts producing data with less latency than creating the entire zip up-front. This means faster responses, no temporary files, and very low memory usage.
  • The ability to calculate the total size of the stream before any data is actually generated (provided no compression is used) means web backends can provide a Content-Length header in their responses. This allows clients to show a progress bar as the stream is transferred.
  • By keeping track of the date of the most recently modified file added to the zip, web backends can provide a Last-Modified header. This allows clients to check if they have the most up-to-date version of the zip with just a HEAD request instead of having to download the entire thing.

Installation

pip install zipstream-ng

Examples

Create a local zip file (simple example)

Make an archive named files.zip in the current directory that contains all files under /path/to/files.

from zipstream import ZipStream

zs = ZipStream.from_path("/path/to/files/")

with open("files.zip", "wb") as f:
    f.writelines(zs)

Create a local zip file (demos more of the API)

from zipstream import ZipStream, ZIP_DEFLATED

# Create a ZipStream that uses the maximum level of Deflate compression.
zs = ZipStream(compress_type=ZIP_DEFLATED, compress_level=9)

# Set the zip file's comment.
zs.comment = "Contains compressed important files"

# Add all the files under a path.
# Will add all files under a top-level folder called "files" in the zip.
zs.add_path("/path/to/files/")

# Add another file (will be added as "data.txt" in the zip file).
zs.add_path("/path/to/file.txt", "data.txt")

# Add some random data from an iterable.
# This generator will only be run when the stream is generated.
def random_data():
    import random
    for _ in range(10):
        yield random.randbytes(1024)

zs.add(random_data(), "random.bin")

# Add a file containing some static text.
# Will automatically be encoded to bytes before being added (uses utf-8).
zs.add("This is some text", "README.txt")

# Write out the zip file as it's being generated.
# At this point the data in the files will be read in and the generator
# will be iterated over.
with open("files.zip", "wb") as f:
    f.writelines(zs)

zipserver (included)

A fully-functional and useful example can be found in the included zipstream.server module. It's a clone of Python's built in http.server with the added ability to serve multiple files and folders as a single zip file. Try it out by installing the package and running zipserver --help or python -m zipstream.server --help.

zipserver screenshot

Integration with a Flask webapp

A very basic Flask-based file server that streams all the files under the requested path to the client as a zip file. It provides the total size of the stream in the Content-Length header so the client can show a progress bar as the stream is downloaded. It also provides a Last-Modified header so the client can check if it already has the most recent copy of the zipped data with a HEAD request instead of having to download the file and check.

Note that while this example works, it's not a good idea to deploy it as-is due to the lack of input validation and other checks.

import os.path
from flask import Flask, Response
from zipstream import ZipStream

app = Flask(__name__)

@app.route("/", defaults={"path": "."})
@app.route("/<path:path>")
def stream_zip(path):
    name = os.path.basename(os.path.abspath(path))
    zs = ZipStream.from_path(path)
    return Response(
        zs,
        mimetype="application/zip",
        headers={
            "Content-Disposition": f"attachment; filename={name}.zip",
            "Content-Length": len(zs),
            "Last-Modified": zs.last_modified,
        }
    )

if __name__ == "__main__":
    app.run(host="0.0.0.0", port=5000)

Partial generation and last-minute file additions

It's possible to generate the zip stream, but stop before finalizing it. This enables adding something like a file manifest or compression log after all the files have been added.

ZipStream provides a info_list method that returns information on all the files added to the stream. In this example, all that information will be added to the zip in a file named "manifest.json" before finalizing it.

from zipstream import ZipStream
import json

def gen_zipfile():
    zs = ZipStream.from_path("/path/to/files")
    yield from zs.all_files()
    zs.add(
        json.dumps(
            zs.info_list(),
            indent=2
        ),
        "manifest.json"
    )
    yield from zs.finalize()

Comparison to stdlib

Since Python 3.6 it has actually been possible to generate zip files as a stream using just the standard library, it just hasn't been very ergonomic or efficient. Consider the typical use case of zipping up a directory of files while streaming it over a network connection:

(note that the size of the stream is not pre-calculated in this case as this would make the stdlib example way too long).

Using ZipStream:

from zipstream import ZipStream

send_stream(
    ZipStream.from_path("/path/to/files/")
)
The same(ish) functionality using just the stdlib:
import os
import io
from zipfile import ZipFile, ZipInfo

class Stream(io.RawIOBase):
    """An unseekable stream for the ZipFile to write to"""

    def __init__(self):
        self._buffer = bytearray()
        self._closed = False

    def close(self):
        self._closed = True

    def write(self, b):
        if self._closed:
            raise ValueError("Can't write to a closed stream")
        self._buffer += b
        return len(b)

    def readall(self):
        chunk = bytes(self._buffer)
        self._buffer.clear()
        return chunk

def iter_files(path):
    for dirpath, _, files in os.walk(path, followlinks=True):
        if not files:
            yield dirpath  # Preserve empty directories
        for f in files:
            yield os.path.join(dirpath, f)

def read_file(path):
    with open(path, "rb") as fp:
        while True:
            buf = fp.read(1024 * 64)
            if not buf:
                break
            yield buf

def generate_zipstream(path):
    stream = Stream()
    with ZipFile(stream, mode="w") as zf:
        toplevel = os.path.basename(os.path.normpath(path))
        for f in iter_files(path):
            # Use the basename of the path to set the arcname
            arcname = os.path.join(toplevel, os.path.relpath(f, path))
            zinfo = ZipInfo.from_file(f, arcname)

            # Write data to the zip file then yield the stream content
            with zf.open(zinfo, mode="w") as fp:
                if zinfo.is_dir():
                    continue
                for buf in read_file(f):
                    fp.write(buf)
                    yield stream.readall()
    yield stream.readall()

send_stream(
    generate_zipstream("/path/to/files/")
)

Tests

This package contains extensive tests. To run them, install pytest (pip install pytest) and run py.test in the project directory.

License

Licensed under the GNU LGPLv3.

Release files for zipstream-ng 1.9.3

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

Source distribution (sdist)

Source distribution for zipstream-ng 1.9.3
File Size Uploaded
zipstream_ng-1.9.3.tar.gz 32.7 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for zipstream-ng 1.9.3
File Interpreter ABI Platform
zipstream_ng-1.9.3-py3-none-any.whl Python 3 none any Details

Total release size: 56.4 kB

Release files / zipstream_ng-1.9.3.tar.gz

Download URL zipstream_ng-1.9.3.tar.gz
Size 32.7 kB
Tags Source
SHA-256 checksum
How to use checksums
6cebd055025699c0af594c76a9452cdf13f4be67ee005b6907f0d3c9c6f44ced
BLAKE2b-256 checksum
How to use checksums
f3e076e5a674b0f6a6b7f90af9b87a92fbe1f2b97da447fb09078bcba6f6a28e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.3

Release files / zipstream_ng-1.9.3-py3-none-any.whl

Download URL zipstream_ng-1.9.3-py3-none-any.whl
Size 23.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
6614580d7ae56bc9f3c2a342210108450e2d191b62038e818bae7845612584b7
BLAKE2b-256 checksum
How to use checksums
7544e6d863aebd6d57a1de20d2350328379b5b970c29a217af349793f12d753c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.3

Release history Release notifications | RSS feed

This release

1.9.3 This release

2 release files

1.9.2

2 release files

1.9.1

2 release files

1.9.0

2 release files

1.8.0

2 release files

1.7.1

2 release files

1.7.0

2 release files

1.6.0

2 release files

1.5.0

2 release files

1.4.0

2 release files

1.3.5

2 release files

1.3.4

1 release file

1.3.3

1 release file

1.3.2

1 release file

1.3.1

1 release file

1.3.0

1 release file

1.2.1

1 release file

1.2.0

1 release file

1.1.0

1 release file

1.0.0

1 release file

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