SciQLop Cache

A fast, persistent key-value cache for Python and C++20. Built on SQLite with hybrid blob/file storage, it stays flat from 100 to 1M+ entries while being 2x faster than diskcache on writes and up to 6x faster in batched transactions.

pip install pysciqlop-cache

Quick Start (Python)

from pysciqlop_cache import Cache

cache = Cache("/tmp/my-cache")
cache["sensor/temperature"] = {"ts": 1710000000, "values": [21.3, 21.5, 21.4]}
print(cache["sensor/temperature"])

Any picklable Python object works out of the box. For better performance with structured data, use the msgspec serializer:

from pysciqlop_cache import Cache, MsgspecSerializer

cache = Cache("/tmp/my-cache", serializer=MsgspecSerializer())

Expiration and Tags

cache.set("session/abc", token, expire=3600)          # expires in 1 hour
cache.set("sensor/temp", data, tag="sensor")           # tagged entry
cache.set("sensor/hum", data, expire=600, tag="sensor")

cache.evict_tag("sensor")   # bulk-remove all "sensor" entries
cache.expire()               # remove all expired entries

LRU Eviction

cache = Cache("/tmp/bounded", max_size=1_000_000_000)  # 1 GB limit
# Least-recently-used entries are evicted automatically in the background

Atomic Transactions

with cache.transact():
    cache["balance"] = cache.get("balance", 0) - amount
    cache["log"] = f"withdrew {amount}"
# Automatically commits on success, rolls back on exception

transact() is reentrant on the same thread, so transactional helpers compose cleanly:

def withdraw(amount):
    with cache.transact():
        cache["balance"] = cache.get("balance", 0) - amount

with cache.transact():        # outer
    withdraw(50)               # nested transact is fine
    withdraw(20)
# Outer commits; if it raises, both withdraws roll back together.

Sharded Concurrency with FanoutCache

For write-heavy concurrent workloads, FanoutCache shards keys across N independent stores:

from pysciqlop_cache import FanoutCache

cache = FanoutCache("/tmp/sharded", shard_count=8, max_size=1_000_000_000)
cache["key"] = "value"         # routed to shard via hash(key) % 8

with cache.transact("key"):   # transaction scoped to key's shard
    cache["key"] = transform(cache["key"])

Lightweight Index

Index and FanoutIndex are bare key-value stores with no expiration, eviction, tags, or stats overhead:

from pysciqlop_cache import Index

idx = Index("/tmp/my-index")
idx["dataset/v2"] = metadata

Distributed Locking

# Cross-process lock backed by atomic add()
with cache.lock("my-resource", expire=30):
    # exclusive access across processes
    do_work()

Memoization

@cache.memoize(expire=300, tag="compute")
def expensive(x, y):
    return heavy_computation(x, y)

expensive(1, 2)  # computed
expensive(1, 2)  # served from cache

Atomic Counters

cache.incr("page_views")             # 1
cache.incr("page_views", delta=5)    # 6
cache.decr("page_views")             # 5

Hit/Miss Statistics

cache = Cache("/tmp/stats")
cache.set("k", "v")
cache.get("k")          # hit
cache.get("missing")    # miss
print(cache.stats())    # {"hits": 1, "misses": 1}
cache.reset_stats()

Integrity Checking

result = cache.check()       # verify structural integrity
result = cache.check(True)   # verify and fix (orphaned files, counter drift)
print(result.ok, result.orphaned_files, result.dangling_rows)

Disk Usage

print(cache.volume())  # total bytes on disk (SQLite DB + file-backed values)
print(cache.size())    # total bytes of stored values only

Dict-like Interface

All store types support the standard Python dict interface:

cache["key"] = value           # set
value = cache["key"]           # get
del cache["key"]               # delete
"key" in cache                 # exists
for key in cache: ...          # iterate keys
len(cache)                     # count

Migrating from diskcache

# Migrate an existing diskcache Cache or FanoutCache
python -m pysciqlop_cache.migrate /old/diskcache /new/sciqlop-cache

# Migrate a diskcache Index
python -m pysciqlop_cache.migrate --type index /old/index /new/index

# Migrate and delete entries from source as they are copied
python -m pysciqlop_cache.migrate --drop /old/diskcache /new/sciqlop-cache

Auto-detects Cache vs FanoutCache, preserves expiration TTLs and tags. Use --type index for Index sources (creates a lightweight sciqlop-cache Index). Also usable as a library:

from pysciqlop_cache.migrate import migrate
result = migrate("/old/cache", "/new/cache", drop=True)
result = migrate("/old/index", "/new/index", store_type="index")
print(result)  # {"migrated": 1234, "skipped": 0, "errors": 0, "elapsed_secs": 1.5}

C++ API

#include "sciqlop_cache/sciqlop_cache.hpp"

// Full-featured cache with expiration, LRU eviction, tags, and stats
Cache cache(".cache/", /*max_size=*/1'000'000'000);

cache.set("key", std::vector<char>{'a', 'b', 'c'});
cache.set("key", data, 60s);                  // with expiration
cache.set("key", data, "mytag");               // with tag
cache.set("key", data, 60s, "mytag");          // both

auto value = cache.get("key");                 // std::optional<Buffer>
cache.del("key");
cache.pop("key");                              // get + delete
cache.add("key", data);                        // set only if absent
cache.touch("key", 120s);                      // update expiration
cache.evict_tag("mytag");                      // bulk remove by tag

// Bare key-value store (no expiration/eviction/tags overhead)
Index index(".index/");

// Atomic counters
cache.incr("counter", 1, /*default=*/0);
cache.decr("counter");

// Integrity and diagnostics
auto cr = cache.check();         // structural integrity
auto cr2 = cache.check(true);    // verify and fix
cache.volume();                  // total disk usage in bytes
cache.stats();                   // {hits, misses}

// Sharded variants for write concurrency
FanoutCache fc(".fc/", /*shard_count=*/8, /*max_size=*/0);
FanoutIndex fi(".fi/", /*shard_count=*/8);

Concurrency

Thread-safe: per-instance mutex + per-instance SQLite connection. Multiple threads can share a single Cache instance.
Multi-process safe: SQLite WAL mode with 600s busy timeout. Multiple processes can open the same cache directory.
Fork-safe: pthread_atfork quiescing makes both a one-shot fork → touch the cache → exit pattern and a reused worker pool (processes forked once, then touching the cache repeatedly over a long lifetime) safe — see docs/known-issues/pool-reuse-fork-safety-gap.md for the investigation.
FanoutCache/FanoutIndex: shard keys across N independent stores for write concurrency. Each shard has its own database and lock.

Performance

Latency scaling (100 to 1M entries, 256-byte values)

Scaling benchmark

Latency distribution

Latency vs value size (64B to 1MB)

Value size benchmark

Batched transactions (per-op cost)

Amortized per-op latency drops significantly with larger batches, especially for small values:

Batch per-op cost

Reproduce

# Scaling benchmarks
PYTHONPATH=build python benchmark/scaling.py --max-entries 1000000 --backend both > results.csv
python benchmark/plot_scaling.py results.csv -o benchmark/scaling_chart.png

PYTHONPATH=build python benchmark/scaling.py --max-entries 1000000 --raw --backend both > raw.csv
python benchmark/plot_scaling.py raw.csv --violin -o benchmark/scaling_violin.png

# Value-size and batch benchmarks
PYTHONPATH=build python benchmark/bench_valuesize.py > benchmark/valuesize_results.csv
python benchmark/plot_valuesize.py benchmark/valuesize_results.csv -o benchmark

Building from Source

pip install meson-python numpy
meson setup build -Dwith_tests=true
meson compile -C build
meson test -C build

License

MIT

Download files

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

Source Distribution

pysciqlop_cache-0.1.4.tar.gz (816.0 kB view details)

Uploaded Jul 17, 2026 Source

Built Distributions

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

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

pysciqlop_cache-0.1.4-cp314-cp314t-win_amd64.whl (1.1 MB view details)

Uploaded Jul 17, 2026 CPython 3.14tWindows x86-64

pysciqlop_cache-0.1.4-cp314-cp314t-musllinux_1_2_x86_64.whl (2.3 MB view details)

Uploaded Jul 17, 2026 CPython 3.14tmusllinux: musl 1.2+ x86-64

pysciqlop_cache-0.1.4-cp314-cp314t-musllinux_1_2_aarch64.whl (2.2 MB view details)

Uploaded Jul 17, 2026 CPython 3.14tmusllinux: musl 1.2+ ARM64

pysciqlop_cache-0.1.4-cp314-cp314t-manylinux_2_28_x86_64.whl (1.3 MB view details)

Uploaded Jul 17, 2026 CPython 3.14tmanylinux: glibc 2.28+ x86-64

pysciqlop_cache-0.1.4-cp314-cp314t-manylinux_2_28_aarch64.whl (1.2 MB view details)

Uploaded Jul 17, 2026 CPython 3.14tmanylinux: glibc 2.28+ ARM64

pysciqlop_cache-0.1.4-cp314-cp314t-macosx_13_0_x86_64.whl (1.1 MB view details)

Uploaded Jul 17, 2026 CPython 3.14tmacOS 13.0+ x86-64

pysciqlop_cache-0.1.4-cp314-cp314t-macosx_13_0_arm64.whl (1.0 MB view details)

Uploaded Jul 17, 2026 CPython 3.14tmacOS 13.0+ ARM64

pysciqlop_cache-0.1.4-cp314-cp314-win_amd64.whl (1.1 MB view details)

Uploaded Jul 17, 2026 CPython 3.14Windows x86-64

pysciqlop_cache-0.1.4-cp314-cp314-musllinux_1_2_x86_64.whl (2.3 MB view details)

Uploaded Jul 17, 2026 CPython 3.14musllinux: musl 1.2+ x86-64

pysciqlop_cache-0.1.4-cp314-cp314-musllinux_1_2_aarch64.whl (2.2 MB view details)

Uploaded Jul 17, 2026 CPython 3.14musllinux: musl 1.2+ ARM64

pysciqlop_cache-0.1.4-cp314-cp314-manylinux_2_28_x86_64.whl (1.3 MB view details)

Uploaded Jul 17, 2026 CPython 3.14manylinux: glibc 2.28+ x86-64

pysciqlop_cache-0.1.4-cp314-cp314-manylinux_2_28_aarch64.whl (1.2 MB view details)

Uploaded Jul 17, 2026 CPython 3.14manylinux: glibc 2.28+ ARM64

pysciqlop_cache-0.1.4-cp314-cp314-macosx_13_0_x86_64.whl (1.1 MB view details)

Uploaded Jul 17, 2026 CPython 3.14macOS 13.0+ x86-64

pysciqlop_cache-0.1.4-cp314-cp314-macosx_13_0_arm64.whl (1.0 MB view details)

Uploaded Jul 17, 2026 CPython 3.14macOS 13.0+ ARM64

pysciqlop_cache-0.1.4-cp313-cp313-win_amd64.whl (1.1 MB view details)

Uploaded Jul 17, 2026 CPython 3.13Windows x86-64

pysciqlop_cache-0.1.4-cp313-cp313-musllinux_1_2_x86_64.whl (2.3 MB view details)

Uploaded Jul 17, 2026 CPython 3.13musllinux: musl 1.2+ x86-64

pysciqlop_cache-0.1.4-cp313-cp313-musllinux_1_2_aarch64.whl (2.2 MB view details)

Uploaded Jul 17, 2026 CPython 3.13musllinux: musl 1.2+ ARM64

pysciqlop_cache-0.1.4-cp313-cp313-manylinux_2_28_x86_64.whl (1.3 MB view details)

Uploaded Jul 17, 2026 CPython 3.13manylinux: glibc 2.28+ x86-64

pysciqlop_cache-0.1.4-cp313-cp313-manylinux_2_28_aarch64.whl (1.2 MB view details)

Uploaded Jul 17, 2026 CPython 3.13manylinux: glibc 2.28+ ARM64

pysciqlop_cache-0.1.4-cp313-cp313-macosx_13_0_x86_64.whl (1.1 MB view details)

Uploaded Jul 17, 2026 CPython 3.13macOS 13.0+ x86-64

pysciqlop_cache-0.1.4-cp313-cp313-macosx_13_0_arm64.whl (1.0 MB view details)

Uploaded Jul 17, 2026 CPython 3.13macOS 13.0+ ARM64

pysciqlop_cache-0.1.4-cp312-cp312-win_amd64.whl (1.1 MB view details)

Uploaded Jul 17, 2026 CPython 3.12Windows x86-64

pysciqlop_cache-0.1.4-cp312-cp312-musllinux_1_2_x86_64.whl (2.3 MB view details)

Uploaded Jul 17, 2026 CPython 3.12musllinux: musl 1.2+ x86-64

pysciqlop_cache-0.1.4-cp312-cp312-musllinux_1_2_aarch64.whl (2.2 MB view details)

Uploaded Jul 17, 2026 CPython 3.12musllinux: musl 1.2+ ARM64

pysciqlop_cache-0.1.4-cp312-cp312-manylinux_2_28_x86_64.whl (1.3 MB view details)

Uploaded Jul 17, 2026 CPython 3.12manylinux: glibc 2.28+ x86-64

pysciqlop_cache-0.1.4-cp312-cp312-manylinux_2_28_aarch64.whl (1.2 MB view details)

Uploaded Jul 17, 2026 CPython 3.12manylinux: glibc 2.28+ ARM64

pysciqlop_cache-0.1.4-cp312-cp312-macosx_13_0_x86_64.whl (1.1 MB view details)

Uploaded Jul 17, 2026 CPython 3.12macOS 13.0+ x86-64

pysciqlop_cache-0.1.4-cp312-cp312-macosx_13_0_arm64.whl (1.0 MB view details)

Uploaded Jul 17, 2026 CPython 3.12macOS 13.0+ ARM64

pysciqlop_cache-0.1.4-cp311-cp311-win_amd64.whl (1.1 MB view details)

Uploaded Jul 17, 2026 CPython 3.11Windows x86-64

pysciqlop_cache-0.1.4-cp311-cp311-musllinux_1_2_x86_64.whl (2.3 MB view details)

Uploaded Jul 17, 2026 CPython 3.11musllinux: musl 1.2+ x86-64

pysciqlop_cache-0.1.4-cp311-cp311-musllinux_1_2_aarch64.whl (2.2 MB view details)

Uploaded Jul 17, 2026 CPython 3.11musllinux: musl 1.2+ ARM64

pysciqlop_cache-0.1.4-cp311-cp311-manylinux_2_28_x86_64.whl (1.3 MB view details)

Uploaded Jul 17, 2026 CPython 3.11manylinux: glibc 2.28+ x86-64

pysciqlop_cache-0.1.4-cp311-cp311-manylinux_2_28_aarch64.whl (1.2 MB view details)

Uploaded Jul 17, 2026 CPython 3.11manylinux: glibc 2.28+ ARM64

pysciqlop_cache-0.1.4-cp311-cp311-macosx_13_0_x86_64.whl (1.1 MB view details)

Uploaded Jul 17, 2026 CPython 3.11macOS 13.0+ x86-64

pysciqlop_cache-0.1.4-cp311-cp311-macosx_13_0_arm64.whl (1.0 MB view details)

Uploaded Jul 17, 2026 CPython 3.11macOS 13.0+ ARM64

pysciqlop_cache-0.1.4-cp310-cp310-win_amd64.whl (1.1 MB view details)

Uploaded Jul 17, 2026 CPython 3.10Windows x86-64

pysciqlop_cache-0.1.4-cp310-cp310-musllinux_1_2_x86_64.whl (2.3 MB view details)

Uploaded Jul 17, 2026 CPython 3.10musllinux: musl 1.2+ x86-64

pysciqlop_cache-0.1.4-cp310-cp310-musllinux_1_2_aarch64.whl (2.2 MB view details)

Uploaded Jul 17, 2026 CPython 3.10musllinux: musl 1.2+ ARM64

pysciqlop_cache-0.1.4-cp310-cp310-manylinux_2_28_x86_64.whl (1.3 MB view details)

Uploaded Jul 17, 2026 CPython 3.10manylinux: glibc 2.28+ x86-64

pysciqlop_cache-0.1.4-cp310-cp310-manylinux_2_28_aarch64.whl (1.2 MB view details)

Uploaded Jul 17, 2026 CPython 3.10manylinux: glibc 2.28+ ARM64

pysciqlop_cache-0.1.4-cp310-cp310-macosx_13_0_x86_64.whl (1.1 MB view details)

Uploaded Jul 17, 2026 CPython 3.10macOS 13.0+ x86-64

pysciqlop_cache-0.1.4-cp310-cp310-macosx_13_0_arm64.whl (1.0 MB view details)

Uploaded Jul 17, 2026 CPython 3.10macOS 13.0+ ARM64

pysciqlop_cache-0.1.4-cp39-cp39-win_amd64.whl (1.1 MB view details)

Uploaded Jul 17, 2026 CPython 3.9Windows x86-64

pysciqlop_cache-0.1.4-cp39-cp39-musllinux_1_2_x86_64.whl (2.3 MB view details)

Uploaded Jul 17, 2026 CPython 3.9musllinux: musl 1.2+ x86-64

pysciqlop_cache-0.1.4-cp39-cp39-musllinux_1_2_aarch64.whl (2.2 MB view details)

Uploaded Jul 17, 2026 CPython 3.9musllinux: musl 1.2+ ARM64

pysciqlop_cache-0.1.4-cp39-cp39-manylinux_2_28_x86_64.whl (1.3 MB view details)

Uploaded Jul 17, 2026 CPython 3.9manylinux: glibc 2.28+ x86-64

pysciqlop_cache-0.1.4-cp39-cp39-manylinux_2_28_aarch64.whl (1.2 MB view details)

Uploaded Jul 17, 2026 CPython 3.9manylinux: glibc 2.28+ ARM64

pysciqlop_cache-0.1.4-cp39-cp39-macosx_13_0_x86_64.whl (1.1 MB view details)

Uploaded Jul 17, 2026 CPython 3.9macOS 13.0+ x86-64

pysciqlop_cache-0.1.4-cp39-cp39-macosx_13_0_arm64.whl (1.0 MB view details)

Uploaded Jul 17, 2026 CPython 3.9macOS 13.0+ ARM64

File details

Details for the file pysciqlop_cache-0.1.4.tar.gz.

File metadata

Download URL: pysciqlop_cache-0.1.4.tar.gz
Upload date: Jul 17, 2026
Size: 816.0 kB
Tags: Source
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for pysciqlop_cache-0.1.4.tar.gz
Algorithm	Hash digest
SHA256	`21c30adda60cb2007194c18229221d8fbef81904ff235699851e22fc11065be7`
MD5	`d4277de5d6520199cab775998937d5a3`
BLAKE2b-256	`83db53a39adb73b59aaf01cf08e80e770593d8e55e051a1a732b5f6037f34322`

Algorithm	Hash digest
SHA256	`e9240dc9fc6691da3a8d0165b7bd9c273f0be4eb9fcf2c9540c9578ad041562f`
MD5	`44488ed0882565a2ae7ec6551ee43a5f`
BLAKE2b-256	`bd8b112312128f6662c2f89f1a69d189e7e06a6944ef921e4dfcf5af7571f6a2`

Algorithm	Hash digest
SHA256	`4c9dfd813c65e0b17a150c3e160561d5450de34b98b7b9455603d036e7d55528`
MD5	`177a334be37c6ec656c40c1476544c28`
BLAKE2b-256	`7bc502e5032c2625bee61e3046ef45424737293233645b9af4feed328c0eeefe`

Algorithm	Hash digest
SHA256	`7c84941ed3286899914abd8e384a1d383db0271c3c6b5018197af169e1786108`
MD5	`0f15edf52d73a44d605ef8f42102fc0e`
BLAKE2b-256	`0a85e56a07d9141cfffcde89cdc6d71fc0ea4eb66d2e4da9d666dfc9efd50577`

Algorithm	Hash digest
SHA256	`56ab2617a16051d7293ffb69b19eaafb135c0619af60a08781dc4a5a074ee201`
MD5	`8f0159c04aadc797dd9936899885e3bd`
BLAKE2b-256	`303ed62341c2c14c5476056fa4454c5596e0b20944db3297fb9d4c2d18a1a6e2`

Algorithm	Hash digest
SHA256	`b86867da4ad10ac1d7ed6ae6177f6e23670cb3f41bb0a147e40654ad21cccd39`
MD5	`17312cdcd3b6d85e11f18ca6094a9b2f`
BLAKE2b-256	`7be830220542fff3f7c6db4a5055005c3c63568739ac5773992e43fba92e8451`

Algorithm	Hash digest
SHA256	`a8c8b2325b3d0d91de7d34497617068275d04aed75ed3a0a4d34c5770e3832da`
MD5	`ac6d2eccd7fab95fa983a35973123e6d`
BLAKE2b-256	`19d18b6ec787c675c5b3dcf6bf6a79f2fb558e4cd5e153dccd989a683a670915`

Algorithm	Hash digest
SHA256	`e8f8fb3ff4ce7e7d8deabe8670ed521ed2091ccc939382ab757c44ec6df7ea74`
MD5	`1dc383ae78ae010e36cc73a25330b34f`
BLAKE2b-256	`b6a87086c28d862bd1ee647592b2613f5946b7c911e1b28ab6085ed264f1f331`

Algorithm	Hash digest
SHA256	`e4655365132dda55f57723eaecbf9694f6a5628669fe6ebcabce8db12557c5bc`
MD5	`83b257fda6c6f76f8b7e6ca263526d3a`
BLAKE2b-256	`3913b1d746c30b64eb0519b5aa8c7057b69dfd4c45267c366bb2bdc4274c5409`

Algorithm	Hash digest
SHA256	`de8981d82abd9f5e213ade7f9fd656e0a9c17742061cc2853a787a097d4619b0`
MD5	`5bf2e64381a728465f284c56bc3002a0`
BLAKE2b-256	`d7788d128c28ccea82e38fee7de6d434dcce3c397fc4d529fd1da3a2c8f89857`

Algorithm	Hash digest
SHA256	`df4edea44a922c19041b825998b915edc3c176a58e2757b543a8e9cd3e642382`
MD5	`deb7ccd8ae5f342023925a29e5c504b7`
BLAKE2b-256	`c72a3ab92f94296b82c1bb3ebe8fe8f62c8e3af5d6bd9c0ee31782428eb4570a`

Algorithm	Hash digest
SHA256	`ea54654e6201a02c28cc1ceecfba3e937f458433202325aca6d9ef00946310bb`
MD5	`128c928c6b6e48a65f8f78a00345229f`
BLAKE2b-256	`8d2feec2aca8f69c76f4eec954540c32df09a2e5b8424537664849ce7b0735c4`

Algorithm	Hash digest
SHA256	`11dbd712f177926e4f745626ed6984c93798d5780fab331f2fc1c33309f0e3d2`
MD5	`706692643ed9098bdbe42844d2bbc8ec`
BLAKE2b-256	`0878fd696ba9ea18c0afd0e6b1e894bee85b609ce8f31660fae6f0454a8dc2fd`

Algorithm	Hash digest
SHA256	`7d9911c0f7990bc996391bc3f0cabf05e752feabe8966b8af14e2f3f95841e2f`
MD5	`9ffb5db7f29e9654400dbd42c12a31d2`
BLAKE2b-256	`0c5693b10b83f113789882b2058c00c562164570eb62fec094508c2ccc729a59`

Algorithm	Hash digest
SHA256	`498a612185dcc3a7dfab1ee1e8ed8523f27617d7f9a96f413a6c8b7b06eb206f`
MD5	`6342342b9a8c03d54350ed56c381e1b2`
BLAKE2b-256	`3d4d310c0be463d609e09109cf4df90cba8413e56552c2a63b5bd7bbd86ba432`

Algorithm	Hash digest
SHA256	`809cd5b9f9b4c7f66d400192f80a7bc5499240489c8379b29d53516ec25c924c`
MD5	`37b81f8be9ad239c4b870eff9ccd23cc`
BLAKE2b-256	`be069a7a8230ec4d026bddca1555e51c64752dfe8a5a5f4f819a6c627be6205b`

Algorithm	Hash digest
SHA256	`94f7ff1a090bde7c5ad3a53cfd6a51526cef41730ab3bdd73ce3554a0b091afa`
MD5	`3c8a3a0dab1d80011d7869704afe0678`
BLAKE2b-256	`a938658760f2df4a8168ae79b578c5230c6d8bc1faee8bbe9c6514749e3aebe2`

Algorithm	Hash digest
SHA256	`39751e753ea397c7440a5377e8515eeb638e531b4d8622d97e0ada3db6582d66`
MD5	`19407b125640525e63d408427596cea2`
BLAKE2b-256	`6a7670fc123972bd5cfde3a5ce3ba679b960f9b9906b39f38e189cfd2a91e5c6`

Algorithm	Hash digest
SHA256	`519298d83e5a66b838320a1d2f715bd534faa7642e0f900ff4180f76b67d58cd`
MD5	`fd2362d5fea9fb9e371f52bfca9609a4`
BLAKE2b-256	`839c41381ebf47f4a58dfa4735a2f48ec55b09c971128da791001f4c74dba62a`

Algorithm	Hash digest
SHA256	`69e27d33ab0a29b68a341ecb7cf7ef60f20a548b9c83923b7d66b7464bf587e2`
MD5	`379d2a40c97fb610d3f10fbc363e719c`
BLAKE2b-256	`df0b132f285208dfed49ae3c16ab58c37c9fbaa9111a76d412fa737f27291e3c`

Algorithm	Hash digest
SHA256	`3f94a6bbe73ece53507820724d10fe43ce81218a56466564a1c923e305202564`
MD5	`06811131a9becd51b1b2eb233cea2c0b`
BLAKE2b-256	`7d438c3ef18017b5aa0e3197889322b9a599bef09627020127a24c30b65e1046`

pysciqlop-cache 0.1.4

SciQLop Cache

Quick Start (Python)

Expiration and Tags

LRU Eviction

Atomic Transactions

Sharded Concurrency with FanoutCache

Lightweight Index

Distributed Locking

Memoization

Atomic Counters

Hit/Miss Statistics

Integrity Checking

Disk Usage

Dict-like Interface

Migrating from diskcache

C++ API

Concurrency

Performance

Latency scaling (100 to 1M entries, 256-byte values)

Latency vs value size (64B to 1MB)

Batched transactions (per-op cost)

Reproduce

Building from Source

License

Project links

Key dates

1 maintainer

Credits

GitHub Statistics

License

Requires

Classifiers

Download files

Source Distribution

Built Distributions

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

Algorithm	Hash digest
SHA256	`ff95bf47646661fca4d9f3e10412c8b1e5f574b1b895ae07408b1adf9c0aa89f`
MD5	`310e85bdef09819f98d29d02ac385d39`
BLAKE2b-256	`3e88c7f055a79a79407654c48b57bbeb2db00a4b06423b177a248bf412336601`

Algorithm	Hash digest
SHA256	`535a469b966c846a47c917cf77c3a339da96c754c5cd1a1189d344740b31835b`
MD5	`cc90b317cc38392976f91f311394a1dd`
BLAKE2b-256	`b231f4a86ccf3b9ae44211e4f0e542e9072652706a0b3b4c3a6da21996feae41`

Algorithm	Hash digest
SHA256	`87e78735168b8056fce03b0e181360dc3e1fb6f03584b9dabc77cfe8e714da2c`
MD5	`b8b4d35834d4b79854294954f03ac117`
BLAKE2b-256	`551377e92d7cbaa4f3df154f572cf4f5735ed2d10af5870b63c795fa48a0959c`

Algorithm	Hash digest
SHA256	`6cb926a2a244fce6ee9a889744d3fdb319c02d49280671cd325f2449169fabde`
MD5	`a90778f236fe2705f667e668dad050f5`
BLAKE2b-256	`29baab93353f4741963f06ba5b53995c97eb77ba12a851a88b6016afc1953e65`

Algorithm	Hash digest
SHA256	`9ae990bda0c558335b53347291d33804f3c16745d3aa838da787673cabe81312`
MD5	`7adbb7102cd1ee56bde4b0aada014e78`
BLAKE2b-256	`2cc792d860e29a53b20c20dadc0c2db197fc734fce407ef04a4d22ce9a673c46`

Algorithm	Hash digest
SHA256	`3df7f214d6c05a98b6e27deede6926576876262f45a188e58cf7fdb4c6015850`
MD5	`9f63e9397c534bcf88d2c6e208805247`
BLAKE2b-256	`d82c22d0f20a1ab7e9767619b1ea0b990a71ea9e0732e96321ecf95b7f2e59f9`

Algorithm	Hash digest
SHA256	`acada2214b1d9fad87efdd6a2f6bb6d7fecb616da316d18766952b2db53c8237`
MD5	`ba7ec862af3597a1b7e94f7e03448467`
BLAKE2b-256	`b55dc14de06a840ef48a2a7925cff8d4040bf4af6e58dd3fa6d755b4d509824b`

Algorithm	Hash digest
SHA256	`8ca0bbd3ba669463442ffa5a0662fb1ef8baf96858efe42ade919f0188ef83c6`
MD5	`d4a5f6f26e57eda01f0f2e00155ff434`
BLAKE2b-256	`c1679a21985a911e7583203e89c74de3c48da73cad1db894d06ceedeb823985b`

Algorithm	Hash digest
SHA256	`6573a7a66a766dcc55978d56bc705f1f4689aa2588f9abed17a0091fbb8926d5`
MD5	`54c5043611a6a68c73952636509e62a1`
BLAKE2b-256	`3d1bf9cb96554930a07f9467bfd1a0a7881a60a36c113da061fcc52c64564d52`

Algorithm	Hash digest
SHA256	`ccbb80b7342f418ae864afc603ac6e343d9842f2effb51a26349e8543bd8e30e`
MD5	`92b7dab08218139db3d64a4b443f4ad1`
BLAKE2b-256	`aa3ce173f3eb24cc337c859f85950cc4b9c7527e0eeb87f36672a1cc800694ba`