Femtum SDK - Python

Installation

To install the Femtum SDK, use the following command:

pip

pip install femtum-sdk

poetry

poetry add femtum-sdk

Usage

Here is a basic example of how to use the Femtum SDK:

Start the SDK Server
Use SDK in your code

# Find results by page and get sweep data

from femtum_sdk.adapter.analysis_pandas_adapter import SweepResulToDataframe
from femtum_sdk.core.result_pb2 import (
    FindResultByIdRequest,
    ListByPageResultsRequest,
    OptionalSweepResult,
    ResultsFilterRequest,
    ResultsPage,
)

from femtum_sdk import FemtumSdk
from femtum_sdk.core.tag_pb2 import Tag

# Make sure the API server is running before running next steps
with FemtumSdk() as sdk:
    page: ResultsPage = sdk.trimming.result.ListByPage(
        ListByPageResultsRequest(
            PageSize=10,
            PageNumber=1,
            Filters=ResultsFilterRequest(
                WaferName="MyWafer",
                ReticleName="MyReticle",
                DieName="MyDie",
                CircuitName="MyCircuit",
                Tags=[Tag(Key="ShotNumber", Value="6")],
            ),
        )
    )

    items = list(page.Items)
    print(items)

    firstResultWithData: OptionalSweepResult = sdk.trimming.result.FindSweepById(
        FindResultByIdRequest(Id=page.Items[0].Id)
    )
    result = firstResultWithData.Result

    print(result.WavelengthsArray)
    print(result.WavelengthsArray)
    print(result.PowersArray)

    dataframe = SweepResulToDataframe(result)
    print(dataframe)

With Specified SDK server url

with FemtumSdk(hostUrl=api_server.get_grpc_url()) as sdk:
  request = FindResultDataRequestDto()
  result: SpectrumProviderSweepResultArray = (
      sdk.analysis.FindSpectrumProviderSweepResults(request)
  )

  print(result.Items)

Module Dependencies

flowchart TD
    analytics[Analytics]
    spectrum[Spectrum]
    laser[Laser]
    database[Database]
    analysis_agent[Analysis Agent]

    analysis_agent --> database
    analysis_agent --> analytics
    analysis_agent --> spectrum
    analysis_agent --> laser

Metadata

Release files for femtum-sdk 0.81.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for femtum-sdk 0.81.0
File	Size	Uploaded
femtum_sdk-0.81.0.tar.gz	268.9 kB	Oct 9, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for femtum-sdk 0.81.0
File	Interpreter	ABI	Platform	Reset
femtum_sdk-0.81.0-py3-none-any.whl 475.8 kB Oct 9, 2026	Python 3	none	any	Details

Total release size: 744.7 kB

Release files / femtum_sdk-0.81.0.tar.gz

Download URL	femtum_sdk-0.81.0.tar.gz
Size	268.9 kB
Tags	Source
SHA-256 checksum How to use checksums	`3ec16a1d38ab96decd24e06639679847b0f6a3e10404097b81674151daee8e0d`
BLAKE2b-256 checksum How to use checksums	`4bfb8b775c66c43955e1e22bf5bdf3685ce6e95a45b7369b2979c01cafa01f5a`
Upload date	Oct 9, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/Femtum/core
Publishing commit: github.com/Femtum/core/tree/135037ec8494eefbbae58cef6d029e1b8618c9a7

Workflow

Publishing configuration: github.com/Femtum/core/blob/135037ec8494eefbbae58cef6d029e1b8618c9a7/.github/workflows/release-python-sdk.yml
Publishing logs: github.com/Femtum/core/actions/runs/37980586147/attempts/1

Artifact

Subject: femtum_sdk-0.81.0.tar.gz
SHA-256 checksum: 3ec16a1d38ab96decd24e06639679847b0f6a3e10404097b81674151daee8e0d Verifying attestations

Release files / femtum_sdk-0.81.0-py3-none-any.whl

Download URL	femtum_sdk-0.81.0-py3-none-any.whl
Size	475.8 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`94881eb8d367463bc30eb81744056f21edabd0eb801ee5fd3e7557acd33906a9`
BLAKE2b-256 checksum How to use checksums	`8e50b35021e074db9be4ccdbc75789effbb4d5510c4f75889fb019bf8a5defee`
Upload date	Oct 9, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/Femtum/core
Publishing commit: github.com/Femtum/core/tree/135037ec8494eefbbae58cef6d029e1b8618c9a7

Workflow

Publishing configuration: github.com/Femtum/core/blob/135037ec8494eefbbae58cef6d029e1b8618c9a7/.github/workflows/release-python-sdk.yml
Publishing logs: github.com/Femtum/core/actions/runs/37980586147/attempts/1

Artifact

Subject: femtum_sdk-0.81.0-py3-none-any.whl
SHA-256 checksum: 94881eb8d367463bc30eb81744056f21edabd0eb801ee5fd3e7557acd33906a9 Verifying attestations