timslite-py

Python bindings for the timslite high-performance time-series data storage library.

Installation

pip install timslite

Prebuilt wheels are published for the supported release platforms. If pip cannot find a compatible wheel, it falls back to building the source distribution with maturin. Source builds require a Rust toolchain and native compiler toolchain. The PyPI source distribution depends on the matching timslite crate version from crates.io.

For repository development:

maturin develop            # Development
maturin develop --release  # Release build

Usage

import timslite

with timslite.Store.open("/data/timslite") as store:
    store.create_dataset("sensor", "waveform")
    ds = store.open_dataset("sensor", "waveform")
    ds.write(1, b"reading_1")
    ds.write(2, b"reading_2")

    # Read single record by timestamp
    record = ds.read(1)  # -> (1, b"reading_1") or None
    if record:
        ts, data = record
        print(f"ts={ts}, data={data}")

    # Read the latest record
    record = ds.read_latest()  # -> (2, b"reading_2") or None for empty dataset

    # Query the latest timestamp without a range scan
    print(f"latest: {ds.latest_timestamp}")  # -> 2

    # Range query
    for ts, data in ds.query(1, 100):
        print(f"ts={ts}, data={data}")

    # Delete a record
    ds.delete(1)

Manual Background Tasks

When enable_background_thread=False, the store does not spawn an internal background thread. You must call store.tick_background_tasks() periodically to drive flush, idle-close, cache eviction, and retention reclaim.

import timslite

cfg = timslite.StoreConfig(enable_background_thread=False)
store = timslite.Store.open("/data/timslite", cfg)

store.create_dataset("sensor", "waveform")
ds = store.open_dataset("sensor", "waveform")
ds.write(1, b"reading_1")

# Manually execute a tick — returns (executed_tasks, next_delay_ms)
executed, delay_ms = store.tick_background_tasks()
print(f"executed={executed}, next in {delay_ms}ms")

# Check the delay without executing anything
delay = store.next_background_delay()
print(f"next task due in {delay}ms")

# In an event loop:
import time
while True:
    executed, delay_ms = store.tick_background_tasks()
    if executed > 0:
        print(f"ran {executed} background tasks")
    time.sleep(delay_ms / 1000.0)

store.close()

Project links

Data verified by PyPI on Jul 7, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.1.4)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for snower from gravatar.com snower

GitHub Statistics

Data verified by PyPI on Jul 7, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

MIT License (MIT)

Requires

Python >=3.9

Tags

time-series storage mmap queue journal

Classifiers

Report project as malware

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0.1.4

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0.1.3 This release

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0.1.2

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0.1.1

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0.1.0

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