2025 State of Tech Talent Report Dataset

Linux Foundation Research

doi:10.5281/zenodo.21093464

Published June 1, 2025 | Version v1

Dataset Open

2025 State of Tech Talent Report Dataset

Linux Foundation Research¹

1. Linux Foundation

Provides the survey instrument, dataset, and frequencies used for the 2025 State of Tech Talent Report. Please consult the "Introduction to the dataset" pdf document first as it explains the content found in each of the other files. Report available at: https://www.linuxfoundation.org/research/open-source-jobs-report-2025

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2025 Tech Talent Frequencies Deck.pdf

Files (1.2 MB)

Name	Size	Download all
2025 Tech Talent Frequencies Deck.pdf md5:7bb1cb83cabc121f2dd0a516e42df517	202.5 kB	Preview Download
2025 Tech Talent Full Survey Reference N556.xlsx md5:5ba8593a404728415e7379d2a5d1b989	386.9 kB	Download
2025 Tech Talent Japan Frequencies Deck.pdf md5:f7246bb2d1f5a86a02c55d52a7423fe4	206.5 kB	Preview Download
2025 Tech Talent Survey Questions.pdf md5:c8ae52bcee0f1666f89c31fb157af7a8	181.0 kB	Preview Download
Introduction to the dataset.pdf md5:5e955f0c13c575a0977e76f1194f11a7	184.0 kB	Preview Download

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Zenodo

License: Community Data License Agreement – Permissive – Version 2.0

This is the Community Data License Agreement – Permissive, Version 2.0 (the “agreement”). Data Provider(s) and Data Recipient(s) agree as follows: 1. Provision of the Data 1.1. A Data Recipient may use, modify, and share the Data made available by Data Provider(s) under this agreement if that Data Recipient follows the terms of this agreement. 1.2. This agreement does not impose any restriction on a Data Recipient’s use, modification, or sharing of any portions of the Data that are in the public domain or that may be used, modified, or shared under any other legal exception or limitation. 2. Conditions for Sharing Data 2.1. A Data Recipient may share Data, with or without modifications, so long as the Data Recipient makes available the text of this agreement with the shared Data. 3. No Restrictions on Results 3.1. This agreement does not impose any restriction or obligations with respect to the use, modification, or sharing of Results. 4. No Warranty; Limitation of Liability 4.1. All Data Recipients receive the Data subject to the following terms: THE DATA IS PROVIDED ON AN “AS IS” BASIS, WITHOUT REPRESENTATIONS, WARRANTIES OR CONDITIONS OF ANY KIND, EITHER EXPRESS OR IMPLIED INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OR CONDITIONS OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. NO DATA PROVIDER SHALL HAVE ANY LIABILITY FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING WITHOUT LIMITATION LOST PROFITS), HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE DATA OR RESULTS, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. 5. Definitions 5.1. “Data” means the material received by a Data Recipient under this agreement. 5.2. “Data Provider” means any person who is the source of Data provided under this agreement and in reliance on a Data Recipient’s agreement to its terms. 5.3. “Data Recipient” means any person who receives Data directly or indirectly from a Data Provider and agrees to the terms of this agreement. 5.4. “Results” means any outcome obtained by computational analysis of Data, including for example machine learning models and models’ insights. Read more

Technical metadata

Created: July 1, 2026
Modified: July 1, 2026

2025 State of Tech Talent Report Dataset

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Files

2025 Tech Talent Frequencies Deck.pdf

Files (1.2 MB)