3 Oct 2025, 12:03 UTC314 views11 reactionsread 11 August 2026 Photo
nxs-data-anonymizer v1.15.0 is out!
Discover the latest improvements in our repository!
🟢 Improved external command execution in filters
We present a new feature: you are currently able to use command arguments in filters. Until now, the entire command string was treated as a single executable, which made it difficult to run scripts with parameters correctly. With this update, the first part is the command, and ev…
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14 Nov 2024, 11:31 UTC305 views5 reactionsread 11 August 2026 Photo
nxs-data-anonymizer v1.14.0 is out!
🟢 Support for DOS line endings has been added!
Previously, MySQL files with DOS line endings were not processed correctly, causing unexpected results. We added support for this case, so you no longer have to manually replace \r\n with \n before processing files. This enhancement streamlines the workflow, eliminating the need for manual adjustments before processing.
For more det…
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7 Nov 2024, 10:31 UTC193 views7 reactionsread 11 August 2026 Photo
Hey there 🖖
We’re excited to announce some upcoming changes to our tool!
In the latest update, we introduced a new filter function drop. For those who haven’t had time to try it - welcome to our GitHub 👈
In the next release, we will add support for DOS line endings, stay tuned!
Don’t hesitate to report any issues you encounter. You can ask questions, get help, or provide feedback in the chat!
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30 Oct 2024, 07:30 UTC164 views7 reactionsread 11 August 2026 Photo
nxs-data-anonymizer v1.13.0 is out!
🟢 A new filter function drop has been added for PostgreSQL.
In the same way as for MySQL, this feature allows you to drop entire rows during the anonymization process. If a table has filters on multiple columns and any of them returns the drop value, the entire row will be skipped.
❗️ Note: Be cautious when using foreign keys in your database!
To see the details, settings, and …
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23 Oct 2024, 09:59 UTC136 views9 reactionsread 11 August 2026 Photo
Hey there 🖖
We're happy to announce that a new version of nxs-data-anonymizer is coming soon! We will continue to work on the drop filter function and other improvements in the next release. Please look forward to it!
If you want to be the first one to try out the new feature, please turn your notifications on and head over to our GitHub, where you can also check the details of the latest 1.12.0 release 👈
As always…
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16 Oct 2024, 12:25 UTC128 views11 reactionsread 11 August 2026 Photo
nxs-data-anonymizer v1.12.0 is out!
🟢 A new filter function drop has been added for MySQL.
This feature allows you to drop entire rows during the anonymization process. If a table has filters on multiple columns and any of them returns the drop value, the entire row will be skipped.
❗️ Note: Be cautious when using foreign keys in your database!
To see the details, settings, and descriptions of the new feature, pl…
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25 Sept 2024, 09:35 UTC164 views11 reactionsread 11 August 2026 Photo
⭐️ nxs-data-anonymizer reaches 200 Stars on GitHub! ⭐️
We’re excited to announce that nxs-data-anonymizer has officially surpassed 200 stars on GitHub! Thank you to everyone who has contributed by testing the tool, sharing insights, and participating in discussions. Your support has been invaluable!
This milestone is a testament to our collaborative spirit and commitment to data protection. We’re grateful to be par…
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18 Sept 2024, 12:21 UTC148 views7 reactionsread 11 August 2026 Photo
nxs-data-anonymizer v1.11.0 is out!
Discover the new feature of our repository!
🟢 Generating correct values for data types
Now, when a column's security policy is set to randomize cell values, the values are automatically generated based on their data types. Previously, all types were treated similarly, but with this update, we've categorized data types (e.g., for MySQL columns like date and datetime) and ensured …
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4 Sept 2024, 10:31 UTC129 views3 reactionsread 11 August 2026 Photo
nxs-data-anonymizer v1.10.1 is out!
What’s important about this particular update?
🟡 Added correct processing of columns with GENERATED type.
Previously, nxs-data-anonymizer didn’t properly process columns with GENERATED fields type. This issue is fixed now!
To see the details, settings, and descriptions of the new feature, please head over to our GitHub 👈
As always, thanks for reporting any issues you encounter!…
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20 Aug 2024, 09:32 UTC147 views5 reactionsread 11 August 2026 Photo
Hey there 🖖
We're happy to announce that a new version of nxs-data-anonymizer is coming soon! In the next release, we’re going to fix some issues and bugs with MySQL and you also will be able to generate correct values for types. Please look forward to it!
If you want to be the first one to try out the new feature, please turn your notifications on and head over to our GitHub, where you can also check the details…
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8 Aug 2024, 11:01 UTC133 views8 reactionsread 11 August 2026 Photo
nxs-data-anonymizer v1.10.0 is out!
🟢 Additional variables have been added to nxs-data-anonymizer!
In this release, we added a feature allowing you to use regular expressions with capturing groups for different column data types. Previously, the CREATE TABLE command wasn’t able to consider capturing groups properly; it just anonymized columns according to security settings.
Additional variables in filters such as …
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25 Jul 2024, 10:15 UTC105 viewsread 11 August 2026 Poll
What database would you like to use nxs-data-anonymizer with?
- PostgreSQL42%
- MySQL/MariaDB/Percona17%
- MongoDB0%
- Redis8%
- ClickHouse17%
- My answer0%
- I'd like to see the result33%
The shares total 117%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Showing the 12 most recent of 20 posts we hold for @nxs_data_anonymizer. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.