Side by side
DeepTable vs timeseriesflattener
Both stand on data preparation software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Paid APILinux
DeepTable focuses on converting complex Excel layouts into structured, traceable data, with several output formats and developer tools. Buyers should note its .xlsx input requirement and request pricing directly.
Visit DeepTable Free plan APILinux
Pick timeseriesflattener when you need configurable feature construction from irregular time series before training machine-learning models. Consider another option if you want a hosted service or a non-Python workflow rather than a self-hosted package installed with pip.
Visit timeseriesflattenerThe facts
| DeepTable | timeseriesflattener | |
|---|---|---|
| Free plan | Not published | Yes |
| Open source | Not published | Not published |
| Runs on | API, Linux | API, Linux |
| Lowest paid plan | Not published | Not published |
| Plans published | None | None |
| Maker | Not published | Not published |
| Website | deeptable.com | aarhus-psychiatry-research.github.io |
| On data preparation software | #22 of 28 | #18 of 28 |
DeepTable: what it does well
- Accepts Excel .xlsx files up to 100MB.
- Outputs SQLite, Parquet, or CSV.
- Output values reference their source spreadsheet cells.
- Offers TypeScript, Python, and Go libraries plus a CLI.
- Users can delete uploaded files and results at any time.
What to know first
- Accepts Excel .xlsx input only.
- Pricing is available on request.
- Deployment is cloud.
timeseriesflattener: what it does well
- Handles irregular time-series observations
- Supports pandas and Polars dataframes
- Offers many documented aggregation functions
- Defines predictor and outcome windows
- Allows fallback values for empty windows
What to know first
- Requires Python and pip installation
- Runs as self-hosted software
- Designed around dataframe-based inputs
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