Bev
BEV AboutLast updated: May 7, 2026Open data credits

About BEV

BEV helps people discover nightlife, coordinate with friends, and understand the open data sources behind venue discovery.

What BEV Is

BEV is a location-aware social nightlife app for finding places to go, checking in with friends, and keeping nights out easier to coordinate.

Open Data Credits

Venue discovery may combine BEV data, user-submitted places, and public or open map datasets.

Overture

Overture Maps Foundation

BEV credits Overture Maps Foundation for Overture open map data used in venue and place discovery workflows.

overturemaps.org
License

CDLA-Permissive-2.0

Overture Places includes sources available under the Community Data License Agreement Permissive 2.0. The full license text is included on this page.

CDLA license page

Attribution

Overture Maps Foundation, overturemaps.org. Overture Places contributors and source licenses are listed in the Overture Attribution and Licensing documentation.

Overture Attribution and Licensing

CDLA-Permissive 2.0 License Text

Included for Overture data shared under CDLA-Permissive 2.0.

View full Community Data License Agreement - Permissive - Version 2.0
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.