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Collecting datasets to train Machine Learning models can be time consuming.
Another alternative is to use synthetic datasets.
startorch is a Python library to generate synthetic time-series.
As the name suggest, startorch relies mostly on PyTorch to generate the time series and to control
the randomness.
startorch is built to be modular, flexible and extensible.
Below show some generated sequences by startorch where the values are sampled from different
distribution.
 |  |
| uniform | log-uniform |
 |  |
| sine wave | Wiener process |
startorch | batchtensor | coola | objectory | numpy | torch | iden* | matplotlib* | plotly* | python |
|---|---|---|---|---|---|---|---|---|---|
main | >=0.0.1,<0.1 | >=0.2,<1.0 | >=0.1,<1.0 | >=1.23,<2.0 | >=2.0,<3.0 | >=0.0.2,<0.1 | >=3.6,<4.0 | >=5.0,<6.0 | >=3.9,<3.12 |
0.1.0 | >=0.0.1,<0.1 | >=0.2,<1.0 | >=0.1,<1.0 | >=1.22,<2.0 | >=2.0,<3.0 | >=0.0.2,<0.1 | >=3.6,<4.0 | >=5.0,<6.0 | >=3.9,<3.12 |
* indicates an optional dependency
startorch | coola | objectory | redcat | torch | matplotlib* | plotly* | python |
|---|---|---|---|---|---|---|---|
0.0.8 | >=0.0.20,<0.2 | >=0.0.7,<0.2 | >=0.0.16,<0.1 | >=2.0,<3.0 | >=3.6,<4.0 | >=5.12,<6.0 | >=3.9,<3.12 |
0.0.7 | >=0.0.20,<0.0.25 | >=0.0.7,<0.0.9 | >=0.0.16,<0.0.18 | >=2.0,<2.2 | >=3.6,<3.9 | >=5.12,<5.18 | >=3.9,<3.12 |
0.0.6 | >=0.0.20,<0.0.25 | >=0.0.7,<0.0.9 | >=0.0.16,<0.0.18 | >=2.0,<2.2 | >=3.6,<3.9 | >=3.9,<3.12 | |
0.0.5 | >=0.0.20,<0.0.24 | >=0.0.7,<0.0.8 | >=0.0.16,<0.0.17 | >=2.0,<2.1 | >=3.6,<3.9 | >=3.9,<3.12 | |
0.0.4 | >=0.0.20,<0.0.24 | >=0.0.7,<0.0.8 | >=0.0.16,<0.0.17 | >=2.0,<2.1 | >=3.6,<3.9 | >=3.9,<3.12 | |
0.0.3 | >=0.0.20,<0.0.24 | >=0.0.7,<0.0.8 | >=0.0.9,<0.0.10 | >=2.0,<2.1 | >=3.6,<3.9 | >=3.9,<3.12 |
Please check the instructions in CONTRIBUTING.md.
:warning: While startorch is in development stage, no API is guaranteed to be stable from one
release to the next.
In fact, it is very likely that the API will change multiple times before a stable 1.0.0 release.
In practice, this means that upgrading startorch to a new version will possibly break any code
that was using the old version of startorch.
startorch is licensed under BSD 3-Clause "New" or "Revised" license available
in LICENSE file.
FAQs
synthetic time-series generator in PyTorch
We found that startorch demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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