dataClay is a distributed data store that enables applications to store and access objects in the same format they have in memory, and executes object methods within the data store. These two main features accelerate both the development of applications and their execution.
Installation
To install dataClay, you can use pip:
pip install dataclay
Alternatively, you can obtain the latest source code from GitHub:
git clone https://github.com/bsc-dom/dataclay.git
cd dataclay
pip install .
Documentation
dataClay has usage and reference documentation at dataclay.readthedocs.io
Contributing
We welcome contributions to dataClay. Please see the Contributing for more details.
Maintainers
- @alexbarcelo (Alex Barcelo)
- @aqueralt (Anna Queralt)
- @marcmonfort (Marc Monfort)
- @Canicula98 (David Cano)
Other resources
Acknolwedgments
See the full list of acknowledgments
4 maintainers
Metadata
4 maintainers
Release files for dataclay 4.3.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| dataclay-4.3.1.tar.gz | 90.0 kB | Without provenance | Details for dataclay-4.3.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| dataclay-4.3.1-py3-none-any.whl | Python 3 | none | any | Details for dataclay-4.3.1-py3-none-any.whl |
Total release size: 210.3 kB
Release files / dataclay-4.3.1.tar.gz
| Download URL | dataclay-4.3.1.tar.gz |
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| Size | 90.0 kB |
| Tags | Source |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.10.12
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Release files / dataclay-4.3.1-py3-none-any.whl
| Download URL | dataclay-4.3.1-py3-none-any.whl |
|---|---|
| Size | 120.3 kB |
| Tags | Python 3 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.12
|
Security for dataclay 4.3.1
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