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MaterialScope

English · Türkçe

MaterialScope is an open-source Python workbench for reproducible materials-characterization workflows. It brings DSC, TGA, DTA, FTIR, Raman, and XRD data into one place for import, processing, comparison, visualization, and report-ready export.

What it does

  • Imports common laboratory files: CSV, TXT, TSV, XLSX, and XLS.
  • Helps review column mapping and data-quality warnings before analysis.
  • Provides modality-aware workflows for thermal, spectral, and diffraction data.
  • Lets you compare runs and export figures, data, and reports.

How it works

  1. Import one or more measurement files.
  2. Review the detected format, columns, and metadata.
  3. Select the relevant analysis workflow and inspect the interactive results.
  4. Compare runs when needed, then export the data or a report.

MaterialScope is designed to keep source data, processing choices, visualizations, and exported results connected in a single project workflow.

Run locally

Prerequisites: Python 3.11+ and pip.

git clone https://github.com/utkuvibing/MaterialScope.git
cd MaterialScope
python -m venv .venv

Activate the virtual environment:

# Windows PowerShell
.\.venv\Scripts\Activate.ps1
# macOS / Linuxsource .venv/bin/activate

Install the project and start the app:

pip install -e .
python -m dash_app.server

For development and testing, also install the tooling extra:

pip install -e ".[dev]"

Open http://127.0.0.1:8050 in your browser.

Note

MaterialScope is an evolving research and engineering project. Its analysis outputs support scientific workflows but do not replace expert validation, particularly for qualitative spectral and XRD interpretation.

License

MIT — see LICENSE.

About

MaterialScope is a desktop platform for multimodal materials characterization, unifying DSC, TGA, DTA, FTIR, Raman, and XRD with reproducible analysis and scientific reporting.

materialscope.vercel.app

Topics

diffractiondscdtaftirmaterials-characterizationpythonramanscientific-reportingspectroscopystreamlittgaxrd

Resources

Readme
MIT license
Activity

Stars

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GitHub - utkuvibing/MaterialScope: MaterialScope is a desktop platform for multimodal materials characterization, unifying DSC, TGA, DTA, FTIR, Raman, and XRD with reproducible analysis and scientific reporting. · GitHub
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MaterialScope
English · Türkçe
MaterialScope is an open-source Python workbench for reproducible materials-characterization workflows. It brings DSC, TGA, DTA, FTIR, Raman, and XRD data into one place for import, processing, comparison, visualization, and report-ready export.
What it does
  • Imports common laboratory files: CSV, TXT, TSV, XLSX, and XLS.
  • Helps review column mapping and data-quality warnings before analysis.
  • Provides modality-aware workflows for thermal, spectral, and diffraction data.
  • Lets you compare runs and export figures, data, and reports.
How it works
  1. Import one or more measurement files.
  2. Review the detected format, columns, and metadata.
  3. Select the relevant analysis workflow and inspect the interactive results.
  4. Compare runs when needed, then export the data or a report.
MaterialScope is designed to keep source data, processing choices, visualizations, and exported results connected in a single project workflow.
Run locally
Prerequisites: Python 3.11+ and pip.
git clone https://github.com/utkuvibing/MaterialScope.git
cd MaterialScope
python -m venv .venv
Activate the virtual environment:
# Windows PowerShell
.\.venv\Scripts\Activate.ps1
# macOS / Linuxsource .venv/bin/activate
Install the project and start the app:
pip install -e .
python -m dash_app.server
For development and testing, also install the tooling extra:
pip install -e ".[dev]"
Open http://127.0.0.1:8050 in your browser.
Note
MaterialScope is an evolving research and engineering project. Its analysis outputs support scientific workflows but do not replace expert validation, particularly for qualitative spectral and XRD interpretation.
License
MIT — see LICENSE.
About
MaterialScope is a desktop platform for multimodal materials characterization, unifying DSC, TGA, DTA, FTIR, Raman, and XRD with reproducible analysis and scientific reporting.
materialscope.vercel.app
Topics
diffractiondscdtaftirmaterials-characterizationpythonramanscientific-reportingspectroscopystreamlittgaxrd
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
0 watching
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0 forks
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, 'i');
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GitHub - utkuvibing/MaterialScope: MaterialScope is a desktop platform for multimodal materials characterization, unifying DSC, TGA, DTA, FTIR, Raman, and XRD with reproducible analysis and scientific reporting. · GitHub
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MaterialScope
English · Türkçe
MaterialScope is an open-source Python workbench for reproducible materials-characterization workflows. It brings DSC, TGA, DTA, FTIR, Raman, and XRD data into one place for import, processing, comparison, visualization, and report-ready export.
What it does
  • Imports common laboratory files: CSV, TXT, TSV, XLSX, and XLS.
  • Helps review column mapping and data-quality warnings before analysis.
  • Provides modality-aware workflows for thermal, spectral, and diffraction data.
  • Lets you compare runs and export figures, data, and reports.
How it works
  1. Import one or more measurement files.
  2. Review the detected format, columns, and metadata.
  3. Select the relevant analysis workflow and inspect the interactive results.
  4. Compare runs when needed, then export the data or a report.
MaterialScope is designed to keep source data, processing choices, visualizations, and exported results connected in a single project workflow.
Run locally
Prerequisites: Python 3.11+ and pip.
git clone https://github.com/utkuvibing/MaterialScope.git
cd MaterialScope
python -m venv .venv
Activate the virtual environment:
# Windows PowerShell
.\.venv\Scripts\Activate.ps1
# macOS / Linuxsource .venv/bin/activate
Install the project and start the app:
pip install -e .
python -m dash_app.server
For development and testing, also install the tooling extra:
pip install -e ".[dev]"
Open http://127.0.0.1:8050 in your browser.
Note
MaterialScope is an evolving research and engineering project. Its analysis outputs support scientific workflows but do not replace expert validation, particularly for qualitative spectral and XRD interpretation.
License
MIT — see LICENSE.
About
MaterialScope is a desktop platform for multimodal materials characterization, unifying DSC, TGA, DTA, FTIR, Raman, and XRD with reproducible analysis and scientific reporting.
materialscope.vercel.app
Topics
diffractiondscdtaftirmaterials-characterizationpythonramanscientific-reportingspectroscopystreamlittgaxrd
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
0 watching
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, 'i');
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GitHub - utkuvibing/MaterialScope: MaterialScope is a desktop platform for multimodal materials characterization, unifying DSC, TGA, DTA, FTIR, Raman, and XRD with reproducible analysis and scientific reporting. · GitHub
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MaterialScope
English · Türkçe
MaterialScope is an open-source Python workbench for reproducible materials-characterization workflows. It brings DSC, TGA, DTA, FTIR, Raman, and XRD data into one place for import, processing, comparison, visualization, and report-ready export.
What it does
  • Imports common laboratory files: CSV, TXT, TSV, XLSX, and XLS.
  • Helps review column mapping and data-quality warnings before analysis.
  • Provides modality-aware workflows for thermal, spectral, and diffraction data.
  • Lets you compare runs and export figures, data, and reports.
How it works
  1. Import one or more measurement files.
  2. Review the detected format, columns, and metadata.
  3. Select the relevant analysis workflow and inspect the interactive results.
  4. Compare runs when needed, then export the data or a report.
MaterialScope is designed to keep source data, processing choices, visualizations, and exported results connected in a single project workflow.
Run locally
Prerequisites: Python 3.11+ and pip.
git clone https://github.com/utkuvibing/MaterialScope.git
cd MaterialScope
python -m venv .venv
Activate the virtual environment:
# Windows PowerShell
.\.venv\Scripts\Activate.ps1
# macOS / Linuxsource .venv/bin/activate
Install the project and start the app:
pip install -e .
python -m dash_app.server
For development and testing, also install the tooling extra:
pip install -e ".[dev]"
Open http://127.0.0.1:8050 in your browser.
Note
MaterialScope is an evolving research and engineering project. Its analysis outputs support scientific workflows but do not replace expert validation, particularly for qualitative spectral and XRD interpretation.
License
MIT — see LICENSE.
About
MaterialScope is a desktop platform for multimodal materials characterization, unifying DSC, TGA, DTA, FTIR, Raman, and XRD with reproducible analysis and scientific reporting.
materialscope.vercel.app
Topics
diffractiondscdtaftirmaterials-characterizationpythonramanscientific-reportingspectroscopystreamlittgaxrd
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
0 watching
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, 'i');
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GitHub - utkuvibing/MaterialScope: MaterialScope is a desktop platform for multimodal materials characterization, unifying DSC, TGA, DTA, FTIR, Raman, and XRD with reproducible analysis and scientific reporting. · GitHub
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MaterialScope
English · Türkçe
MaterialScope is an open-source Python workbench for reproducible materials-characterization workflows. It brings DSC, TGA, DTA, FTIR, Raman, and XRD data into one place for import, processing, comparison, visualization, and report-ready export.
What it does
  • Imports common laboratory files: CSV, TXT, TSV, XLSX, and XLS.
  • Helps review column mapping and data-quality warnings before analysis.
  • Provides modality-aware workflows for thermal, spectral, and diffraction data.
  • Lets you compare runs and export figures, data, and reports.
How it works
  1. Import one or more measurement files.
  2. Review the detected format, columns, and metadata.
  3. Select the relevant analysis workflow and inspect the interactive results.
  4. Compare runs when needed, then export the data or a report.
MaterialScope is designed to keep source data, processing choices, visualizations, and exported results connected in a single project workflow.
Run locally
Prerequisites: Python 3.11+ and pip.
git clone https://github.com/utkuvibing/MaterialScope.git
cd MaterialScope
python -m venv .venv
Activate the virtual environment:
# Windows PowerShell
.\.venv\Scripts\Activate.ps1
# macOS / Linuxsource .venv/bin/activate
Install the project and start the app:
pip install -e .
python -m dash_app.server
For development and testing, also install the tooling extra:
pip install -e ".[dev]"
Open http://127.0.0.1:8050 in your browser.
Note
MaterialScope is an evolving research and engineering project. Its analysis outputs support scientific workflows but do not replace expert validation, particularly for qualitative spectral and XRD interpretation.
License
MIT — see LICENSE.
About
MaterialScope is a desktop platform for multimodal materials characterization, unifying DSC, TGA, DTA, FTIR, Raman, and XRD with reproducible analysis and scientific reporting.
materialscope.vercel.app
Topics
diffractiondscdtaftirmaterials-characterizationpythonramanscientific-reportingspectroscopystreamlittgaxrd
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
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GitHub - utkuvibing/MaterialScope: MaterialScope is a desktop platform for multimodal materials characterization, unifying DSC, TGA, DTA, FTIR, Raman, and XRD with reproducible analysis and scientific reporting. · GitHub
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MaterialScope
English · Türkçe
MaterialScope is an open-source Python workbench for reproducible materials-characterization workflows. It brings DSC, TGA, DTA, FTIR, Raman, and XRD data into one place for import, processing, comparison, visualization, and report-ready export.
What it does
  • Imports common laboratory files: CSV, TXT, TSV, XLSX, and XLS.
  • Helps review column mapping and data-quality warnings before analysis.
  • Provides modality-aware workflows for thermal, spectral, and diffraction data.
  • Lets you compare runs and export figures, data, and reports.
How it works
  1. Import one or more measurement files.
  2. Review the detected format, columns, and metadata.
  3. Select the relevant analysis workflow and inspect the interactive results.
  4. Compare runs when needed, then export the data or a report.
MaterialScope is designed to keep source data, processing choices, visualizations, and exported results connected in a single project workflow.
Run locally
Prerequisites: Python 3.11+ and pip.
git clone https://github.com/utkuvibing/MaterialScope.git
cd MaterialScope
python -m venv .venv
Activate the virtual environment:
# Windows PowerShell
.\.venv\Scripts\Activate.ps1
# macOS / Linuxsource .venv/bin/activate
Install the project and start the app:
pip install -e .
python -m dash_app.server
For development and testing, also install the tooling extra:
pip install -e ".[dev]"
Open http://127.0.0.1:8050 in your browser.
Note
MaterialScope is an evolving research and engineering project. Its analysis outputs support scientific workflows but do not replace expert validation, particularly for qualitative spectral and XRD interpretation.
License
MIT — see LICENSE.
About
MaterialScope is a desktop platform for multimodal materials characterization, unifying DSC, TGA, DTA, FTIR, Raman, and XRD with reproducible analysis and scientific reporting.
materialscope.vercel.app
Topics
diffractiondscdtaftirmaterials-characterizationpythonramanscientific-reportingspectroscopystreamlittgaxrd
Resources
Readme
MIT license
Activity
Stars
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Watchers
0 watching
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, 'i');
if (__m === '*' || __re.test(location.href)) {
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GitHub - utkuvibing/MaterialScope: MaterialScope is a desktop platform for multimodal materials characterization, unifying DSC, TGA, DTA, FTIR, Raman, and XRD with reproducible analysis and scientific reporting. · GitHub
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MaterialScope
English · Türkçe
MaterialScope is an open-source Python workbench for reproducible materials-characterization workflows. It brings DSC, TGA, DTA, FTIR, Raman, and XRD data into one place for import, processing, comparison, visualization, and report-ready export.
What it does
  • Imports common laboratory files: CSV, TXT, TSV, XLSX, and XLS.
  • Helps review column mapping and data-quality warnings before analysis.
  • Provides modality-aware workflows for thermal, spectral, and diffraction data.
  • Lets you compare runs and export figures, data, and reports.
How it works
  1. Import one or more measurement files.
  2. Review the detected format, columns, and metadata.
  3. Select the relevant analysis workflow and inspect the interactive results.
  4. Compare runs when needed, then export the data or a report.
MaterialScope is designed to keep source data, processing choices, visualizations, and exported results connected in a single project workflow.
Run locally
Prerequisites: Python 3.11+ and pip.
git clone https://github.com/utkuvibing/MaterialScope.git
cd MaterialScope
python -m venv .venv
Activate the virtual environment:
# Windows PowerShell
.\.venv\Scripts\Activate.ps1
# macOS / Linuxsource .venv/bin/activate
Install the project and start the app:
pip install -e .
python -m dash_app.server
For development and testing, also install the tooling extra:
pip install -e ".[dev]"
Open http://127.0.0.1:8050 in your browser.
Note
MaterialScope is an evolving research and engineering project. Its analysis outputs support scientific workflows but do not replace expert validation, particularly for qualitative spectral and XRD interpretation.
License
MIT — see LICENSE.
About
MaterialScope is a desktop platform for multimodal materials characterization, unifying DSC, TGA, DTA, FTIR, Raman, and XRD with reproducible analysis and scientific reporting.
materialscope.vercel.app
Topics
diffractiondscdtaftirmaterials-characterizationpythonramanscientific-reportingspectroscopystreamlittgaxrd
Resources
Readme
MIT license
Activity
Stars
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Watchers
0 watching
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GitHub - utkuvibing/MaterialScope: MaterialScope is a desktop platform for multimodal materials characterization, unifying DSC, TGA, DTA, FTIR, Raman, and XRD with reproducible analysis and scientific reporting. · GitHub
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MaterialScope
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MaterialScope is an open-source Python workbench for reproducible materials-characterization workflows. It brings DSC, TGA, DTA, FTIR, Raman, and XRD data into one place for import, processing, comparison, visualization, and report-ready export.
What it does
  • Imports common laboratory files: CSV, TXT, TSV, XLSX, and XLS.
  • Helps review column mapping and data-quality warnings before analysis.
  • Provides modality-aware workflows for thermal, spectral, and diffraction data.
  • Lets you compare runs and export figures, data, and reports.
How it works
  1. Import one or more measurement files.
  2. Review the detected format, columns, and metadata.
  3. Select the relevant analysis workflow and inspect the interactive results.
  4. Compare runs when needed, then export the data or a report.
MaterialScope is designed to keep source data, processing choices, visualizations, and exported results connected in a single project workflow.
Run locally
Prerequisites: Python 3.11+ and pip.
git clone https://github.com/utkuvibing/MaterialScope.git
cd MaterialScope
python -m venv .venv
Activate the virtual environment:
# Windows PowerShell
.\.venv\Scripts\Activate.ps1
# macOS / Linuxsource .venv/bin/activate
Install the project and start the app:
pip install -e .
python -m dash_app.server
For development and testing, also install the tooling extra:
pip install -e ".[dev]"
Open http://127.0.0.1:8050 in your browser.
Note
MaterialScope is an evolving research and engineering project. Its analysis outputs support scientific workflows but do not replace expert validation, particularly for qualitative spectral and XRD interpretation.
License
MIT — see LICENSE.
About
MaterialScope is a desktop platform for multimodal materials characterization, unifying DSC, TGA, DTA, FTIR, Raman, and XRD with reproducible analysis and scientific reporting.
materialscope.vercel.app
Topics
diffractiondscdtaftirmaterials-characterizationpythonramanscientific-reportingspectroscopystreamlittgaxrd
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