Teamtools Data Utilities
About Teamtools Studio
Teamtools Studio Utilities is part of JPL's Teamtools Studio (TTS).
TTS is an effort originated in JPL's Planning and Execution section to centralize shared repositories across missions. This benefits JPL by reducing cost through reducing duplicated code, collaborating across missions, and unifying standards for development and design across JPL.
Although Planning and Execution is primarily concerned with flight operations, the TTS suite has been generalized and atomized to the point where many of these tools are applicable during other mission phases and even in non-spaceflight contexts. Through our work flying space missions, we hope to provide tools to the open source community that have utility in data analysis or planning for any complex system where failure is not an option.
For more infomation on how to contribute, and how these libraries form a complete ecosystem for high reliability data analysis, see the Full TTS Documentation.
What is Data Utilities?
Overview
Data Utilties is one of the central building blocks of the Teamtools Studio. It is primarily a means of organizing and tracking the changes in 2D data (think spreadsheets). It is used as the primary data structure in Tower and Dexter, and is used liberally elsewhere throughout the TTS project.
It is a reality that much of Systems Engineering is executed via spreadsheets and tables. They are the media in which the most SEs are the most comfortable, so data utils provides methods to read, write, manipulate, convert, and mange tabular data. It goes beyond a library like Pandas by providing a core DataContainer class and examples of extensions of it to provide the custom behavior needed for each bespoke data source.
For cases where data is too complex for a single 2D table, Data Utilities also handles the nesting of tables where each row in a table can be associated with a subtable.
Data Utilities also provides significant quality of life functionality for diffing containers (including visual diff) and visualizing them in custom ways in with HTML, Excel, and DOCX output styles.
Additionally, Data Utilities provides a lorem ipsum data generation feature that allows you to quickly create containers with semi-realistic dummy data for prototyping and testing purposes.
Projects Currently Supported
- Europa Clipper
- Mars 2020/Perseverance
- Mars Sample Return/Sample Retrieval Lander
- Mars Science Laboratory/Curiosity
- Mars Reconnaisance Orbiter
- NISAR
- Orbiting Carbon Observatory 2 (OCO-2)
Architecture
TTS dependencies
- Teamtools Studio Utilities
- HTML Utilites
Metadata
Release files for tts-data-utils 0.8.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| tts_data_utils-0.8.0.tar.gz | 1.3 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tts_data_utils-0.8.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.5 MB
Release files / tts_data_utils-0.8.0.tar.gz
| Download URL | tts_data_utils-0.8.0.tar.gz |
|---|---|
| Size | 1.3 MB |
| Tags | Source |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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Release files / tts_data_utils-0.8.0-py3-none-any.whl
| Download URL | tts_data_utils-0.8.0-py3-none-any.whl |
|---|---|
| Size | 1.3 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.6
|