zstandard

Python bindings for Zstandard (zstd) compression — provides fast, high-ratio compression developed by Facebook. zstandard features: ZstdCompressor/ZstdDecompressor for streaming, compress()/decompress() for one-shot, level parameter (1-22, default 3), trained dictionary support for repetitive data, streaming compression via compressor.stream_writer(), multi-threaded compression, frame parameters (magic, checksum, dict_id), content size in frame, chunked streaming decompression, CFFI and C extension backends, and significant improvement over LZ4 (better ratio) and gzip (much faster).

Evaluated Mar 06, 2026 (0d ago) v0.22.x
Homepage ↗ Repo ↗ Developer Tools python zstd zstandard compression fast binary facebook streaming
⚙ Agent Friendliness
67
/ 100
Can an agent use this?
🔒 Security
91
/ 100
Is it safe for agents?
⚡ Reliability
86
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
--
Documentation
85
Error Messages
82
Auth Simplicity
99
Rate Limits
99

🔒 Security

TLS Enforcement
92
Auth Strength
92
Scope Granularity
90
Dep. Hygiene
90
Secret Handling
90

Compression library with no network calls. zstd does not encrypt data — compress then encrypt separately for secure storage. Decompression bombs: valid zstd data can expand to GB of output — validate max_length for untrusted input. HMAC for authenticated integrity separate from compression. zstd frame checksums provide data integrity but not authentication.

⚡ Reliability

Uptime/SLA
85
Version Stability
88
Breaking Changes
88
Error Recovery
85
AF Security Reliability

Best When

High-performance compression for agent data storage, caching, and IPC — zstd provides the best balance of speed and compression ratio among general-purpose compressors, outperforming both LZ4 (ratio) and gzip (speed).

Avoid When

Browser compatibility needed (use gzip/brotli), standard archive formats (use zipfile), or ultra-simple API (use stdlib gzip).

Use Cases

  • Agent data compression — import zstandard as zstd; cctx = zstd.ZstdCompressor(level=3); compressed = cctx.compress(data); dctx = zstd.ZstdDecompressor(); restored = dctx.decompress(compressed) — standard compression; agent caches and stores compressed binary data; level=3 balances speed and ratio
  • Agent high-compression archiving — cctx = zstd.ZstdCompressor(level=19); compressed = cctx.compress(large_data) — high compression mode; agent archiving historical data uses level 19 for best ratio; decompression always fast regardless of compression level
  • Agent streaming compression — cctx = zstd.ZstdCompressor(); with cctx.stream_writer(output_file) as compressor: for chunk in data_stream: compressor.write(chunk) — streaming; agent processes large datasets without buffering entire payload in memory; stream_writer wraps file-like object
  • Agent trained dictionary — from zstandard import ZstdCompressionDict; training_data = [sample1, sample2, sample3]; dict_data = zstd.train_dictionary(8192, training_data); cdict = ZstdCompressionDict(dict_data); cctx = zstd.ZstdCompressor(dict_data=cdict); compressed = cctx.compress(similar_data) — dictionary training; agent compresses many similar small payloads with shared dictionary; 2-5x better ratio for similar data
  • Agent multi-threaded compression — cctx = zstd.ZstdCompressor(level=3, threads=-1); compressed = cctx.compress(large_data) — threaded; agent compresses large payloads using all CPU cores; threads=-1 uses detected CPU count; significant speedup for large files on multi-core systems

Not For

  • Browser compatibility — zstd support in browsers is limited; for web use gzip or brotli
  • Streaming zip/tar archives — zstd is raw compression; for zip/tar format use zipfile or tarfile modules
  • Ultra-simple compression — for simplest API use Python's gzip module (stdlib)

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
No
SDK
Yes
Webhooks
No

Authentication

Methods: none
OAuth: No Scopes: No

No auth — local compression library.

Pricing

Model: open_source
Free tier: Yes
Requires CC: No

python-zstandard is BSD licensed. Free for all use.

Agent Metadata

Pagination
none
Idempotent
Full
Retry Guidance
Not documented

Known Gotchas

  • import zstandard not import zstd — package name is zstandard; pip install zstandard; import zstandard as zstd; not: import zstd (that's a different package); agent requirements.txt must specify: zstandard; confusion between package name and import alias is common
  • ZstdCompressor and ZstdDecompressor are not paired — compressed data is self-describing; any ZstdDecompressor can decompress any ZstdCompressor output; no need to pair same compressor/decompressor instances; agent code creates one compressor for writing and independent decompressor for reading
  • Streaming decompressor requires chunked output — dctx.decompressobj(); while True: chunk = decompressor.decompress(input_chunk, max_length=65536) — max_length limits output per call; without max_length, decompressor may buffer internally; agent streaming decompression must set max_length to control memory usage
  • Dictionary must match for decompression — data compressed with dictionary: dctx = ZstdDecompressor(dict_data=my_dict); without matching dict: ZstdError: decompressor must use same dictionary as compressor; agent must store dictionary alongside compressed data or include in frame (dict_id in frame header)
  • threads parameter for compression only — ZstdCompressor(threads=4) uses multi-threading for compression; ZstdDecompressor has no threads parameter — decompression is single-threaded in libzstd (currently); agent parallel decompression requires multiple ZstdDecompressor instances
  • Content size not always included — by default, ZstdCompressor embeds content size in frame header; this allows pre-allocated output buffer; if content size unknown at compression time: write_content_size=False; without content size: decompressor cannot pre-allocate exact buffer — uses dynamic allocation

Alternatives

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Scores are editorial opinions as of 2026-03-06.

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