semvec/pypi-packages huggingface dataset:
sissf 0.0.1
Spatial Intelligence Scene State Format
Requires Python: >=3.9

# sissf

Spatial Intelligence Scene State Format:
* A platform-agnostic, human and machine readable 3D scene representation standard.
* A Python library for working with the Spatial Intelligence Scene State Format - used by [sisglib](https://github.com/3D-Intelligence/sisglib) (Spatial Intelligence Scene Generation Library).

**Status:** Under active development. Full release coming soon.

## About

Spatial Intelligence is pioneering the next generation of artificial intelligence, enabling machines to understand, construct, and interact with the 3D world with unprecedented accuracy and efficiency.

Repository: [Coming Soon]

For more information: [spatial-intelligence.co.uk](spatial-intelligence.co.uk)  
For inquiries: [hello@spatial-intelligence.co.uk](mailto:hello@spatial-intelligence.co.uk)
openformat 0.3.1
Tools for loading binary data from scientific equipment.
Requires Python: >=3.10

# Openformat: making data usable [![CI](https://github.com/tillahoffmann/openformat/actions/workflows/main.yml/badge.svg)](https://github.com/tillahoffmann/openformat/actions/workflows/main.yml)

Scientific equipment often produces output in binary formats that make it difficult to analyse the data without proprietary software. Openformat allows researchers to load binary data and analyse it in python.

## Supported formats

* Perkin Elmer spectra
* Multi-isotope imaging mass spectrometry (MIMS)
terndata.ecoplots 0.0.4b0
TERN ecoplots data access library
Requires Python: >=3.10

# EcoPlots Python Library

[![PyPI](https://img.shields.io/pypi/v/terndata.ecoplots.svg?logo=pypi&logoColor=white)](https://pypi.org/project/terndata.ecoplots/)
[![Python versions](https://img.shields.io/pypi/pyversions/terndata.ecoplots.svg?logo=python&logoColor=white)](https://pypi.org/project/terndata.ecoplots/)
[![Docs](https://img.shields.io/readthedocs/terndata-ecoplots.svg?logo=readthedocs)](https://terndata-ecoplots.readthedocs.io/en/latest/)
[![License](https://img.shields.io/github/license/ternaustralia/terndata.ecoplots.svg)](LICENSE)
[![GitHub](https://img.shields.io/badge/GitHub-Repo-181717?logo=github&logoColor=white)](https://github.com/ternaustralia/terndata.ecoplots)
[![EcoPlots Portal](https://img.shields.io/badge/EcoPlots-Portal-6EB3A6?labelColor=043E4F)](https://ecoplots.tern.org.au)

High-level Python clients for discovering, filtering, previewing, and retrieving
ecological plot data from the **[TERN EcoPlots Portal](https://ecoplots.tern.org.au)**.
Returns tidy structures for analysis (`pandas.DataFrame`, `geopandas.GeoDataFrame`)
or raw `GeoJSON`.

---

## Features

- 🔎 Discover datasets with validated, human-friendly filters  
- ⚡ Preview result pages before full downloads  
- 🗺️ Spatial selection (GeoJSON/WKT)  
- 🧭 Two clients: synchronous `EcoPlots` and asynchronous `AsyncEcoPlots`  
- 💾 Save / load projects via `.ecoproj` for reproducible workflows

**Documentation:** https://terndata-ecoplots.readthedocs.io

---

## Installation

    pip install terndata.ecoplots

Supported Python: 3.10+

---

## Quick start

```python
from terndata.ecoplots import EcoPlots

ec = EcoPlots()
ec.select(site_id="TCFTNS0002")    # add validated filters
preview = ec.preview().head()      # quick look (first page)
gdf = ec.get_data()                # full pull (GeoDataFrame)
```

### Async

```python
import asyncio
from terndata.ecoplots import AsyncEcoPlots

async def main():
    ec = AsyncEcoPlots()
    ec.select(site_id="TCFTNS0002")
    gdf = await ec.get_data()
    return gdf

# asyncio.run(main())
```

---

## Demo

For example usage, please refer to the [demo notebook](examples/demo.ipynb).

---

## Links

- 📚 Docs (latest): https://terndata-ecoplots.readthedocs.io/en/latest/
- 🧭 EcoPlots Portal: https://ecoplots.tern.org.au
- 🧑‍💻 Source: https://github.com/ternaustralia/terndata.ecoplots
- 📦 PyPI: https://pypi.org/project/terndata.ecoplots/

---

## Contributing

Issues and pull requests are welcome—please open an issue to discuss substantial changes.

Build docs locally:

    pip install -r docs/requirements.txt
    make -C docs html

Run tests:

    make test

Build wheels locally:

    make build

---

## Support

For questions or issues, email **esupport@tern.org.au**.

---

## Citation

Terrestrial Ecosystem Research Network (2025). *terndata.ecoplots: A Python package for accessing TERN EcoPlots data*. https://pypi.org/project/terndata.ecoplots/

---

## License

Licensed under the terms in [LICENSE](LICENSE).  
Copyright © 2025 **TDSA (TERN Data Services and Analytics)**.
Author: Avinash Chandra.
spintel 0.0.1
Spatial Intelligence services to turn words into worlds - powered by sisglib
Requires Python: >=3.9

# spintel

Spatial Intelligence services to turn words into worlds - powered by [sisglib](https://github.com/3D-Intelligence/sisglib) (Spatial Intelligence Scene Generation Library).

**Status:** Under active development. Full release coming soon.

## About

Spatial Intelligence is pioneering the next generation of artificial intelligence, enabling machines to understand, construct, and interact with the 3D world with unprecedented accuracy and efficiency.

Repository: [Coming Soon]

For more information: [spatial-intelligence.co.uk](spatial-intelligence.co.uk)  
For inquiries: [hello@spatial-intelligence.co.uk](mailto:hello@spatial-intelligence.co.uk)
sleep-until 1.1
Sleep until a specific time
Requires Python: >=3.10

sleep\_until
============

This module provides a function `sleep_until(deadline_seconds)`, which is like
`time.sleep()`, but it sleeps until the specified time of the system clock as
returned by `time.time()`. This can be used, for example, to schedule events at
a specific timestamp obtained from `datetime.datetime.timestamp()`.

See the notes in `time.sleep()` on the behavior when interrupted and on
accuracy. Additionally, because this function uses the system clock as a
reference (`CLOCK_REALTIME` on Unix), this means the reference clock is
adjustable and may jump backwards. Limited testing has shown that `sleep_until`
should still work in a predictable fashion (either returning immediately if
the system clock is adjusted back, or sleeping until the specified wall-clock
time if the system clock is adjusted forwards), *however*, this behavior can
currently *not* be guaranteed by this module, so be sure to test the behavior
on your system if you expect to be making adjustments to the system clock
while `sleep_until` is running (including via a background NTP service).

* On POSIX systems, `clock_nanosleep(2)` is used, so this must be available,
  along with the appropriate tools to compile the module.
* On Windows, `SetWaitableTimerEx` is used, in combination with
  `CREATE_WAITABLE_TIMER_HIGH_RESOLUTION` if available.
  Precompiled "wheels" for CPython are available on PyPI
  (wheels for other OSes are not provided because it is not
  guaranteed that `clock_nanosleep(2)` is available there).
* On Mac OS X, at the time of writing, `clock_nanosleep` is still not available,
  so the module currently does not build there.

Here is how one might implement a loop that executes at a specific interval:

```python
from time import time
from sleep_until import sleep_until

interval_s = 1

# using "int" here to start on a full second
next_s = int(time()) + interval_s
while True:
    # calculate the next wake-up time and sleep until then
    now_s = time()
    # if the user's code takes longer than the interval, skip intervals
    while next_s < now_s:
        next_s += interval_s
    sleep_until(next_s)

    # run any user-specified code here
    print(time())
```
sisglib 0.0.1
Spatial Intelligence Scene Generation Library
Requires Python: >=3.9

# sisglib

**Spatial Intelligence Scene Generation Library**
A unified toolkit for developing, evaluating, and deploying 3D scene generation algorithms - built for research and production.

**For researchers:** The *OpenAI Gym* of 3D scene generation - a common framework for implementing, testing, and benchmarking novel approaches.

**For engineers:** The *Hugging Face Transformers* of 3D scene generation - a modular foundation for building, integrating, and deploying systems in real-world pipelines.

**Status:** Under active development. Full release coming soon.

## About

Spatial Intelligence is pioneering the next generation of artificial intelligence, enabling machines to understand, construct, and interact with the 3D world with unprecedented accuracy and efficiency.

Repository: [Coming Soon]

For more information: [spatial-intelligence.co.uk](spatial-intelligence.co.uk)  
For inquiries: [hello@spatial-intelligence.co.uk](mailto:hello@spatial-intelligence.co.uk)