Tag: macos
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DataFileConverter 6.6 Released: Recursive Folders, Correct HTML/XML Output and No Silent Empty Runs
October 29, 2026 — Withdata Software announces DataFileConverter 6.6, the batch file converter for Windows, Linux and macOS that reads CSV, TSV, fixed-width text, Excel, XML, JSON, HTML and YAML and writes them to each other or to SQL. This release is about runs that quietly did the wrong thing: a folder that was not…
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SubtitleConverter 1.1 Released: LRC Timings, ASS Captions and Linux/macOS Fixes
October 28, 2026 — Withdata Software announces SubtitleConverter 1.1, the batch subtitle converter for Windows, Linux and macOS. This release is about subtitles that used to come out wrong or jobs that used to do nothing: LRC files keep their timing, ASS and SSA captions keep their commas, a task file given by absolute path…
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ExcelDataTransformer 2.1 Released: Linux and macOS Builds, Honest Exit Codes
October 27, 2026 — Withdata Software announces ExcelDataTransformer 2.1, a desktop tool that merges and splits Excel workbooks without Microsoft Excel installed. Version 2.1 is the release where it stops being a Windows-only program and stops failing quietly: there are now Linux (GTK3) and macOS (Cocoa) builds, a failed conversion exits with a non-zero code,…
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Tail4win 6.0 Released: Real‑Time Log Monitor Now Available for Linux and macOS
September 9, 2026 — Withdata Software is excited to announce the release of Tail4win 6.0, the major cross‑platform update for its popular GUI log‑monitoring utility. Long known as the graphical alternative to the Unix tail -f command, Tail4win now supports Linux and macOS alongside Windows, bringing real‑time log viewing, filtering, highlighting and session management to…
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DBBlobEditor 8.4 Released: Cross‑Platform Multimedia & Document Support Now Available on macOS
We’re thrilled to announce the official release of DBBlobEditor 8.4 on April 22, 2026—the latest milestone in our ongoing effort to deliver a unified, cross‑platform BLOB/CLOB management experience for database professionals. Building on the widely praised multimedia and document handling capabilities introduced in version 8.3, this update brings full native audio, video, and PDF support…
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Export data from PostgreSQL to JSON via command line on MacOS
Want to export PostgreSQL data to JSON Lines (JSONL) file via Command Line Interface (CLI) on MacOS? Using pg-cmd, Command Line Interface (CLI) client for PostgreSQL, you can unload PostgreSQL data to JSON easily and fast. Direct Interaction or Scripting and Automation. No need to install PostgreSQL client library. Convenient to deploy to cloud. No…
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Export data from Oracle to JSON via command line on MacOS
Want to export Oracle data to JSON Lines (JSONL) file via Command Line Interface (CLI) on MacOS? Using ora-cmd, Command Line Interface (CLI) client for Oracle, you can unload Oracle data to JSON easily and fast. Direct Interaction or Scripting and Automation. No need to install Oracle client library. Convenient to deploy to cloud. No…
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Export data from SQL Server to JSON via command line on MacOS
Want to export SQL Server data to JSON Lines (JSONL) file via Command Line Interface (CLI) on MacOS? Using mssql-cmd, Command Line Interface (CLI) client for SQL Server, you can unload SQL Server data to JSON easily and fast. Direct Interaction or Scripting and Automation. No need to install SQL Server client library. Convenient to…
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Import data from JSON to PostgreSQL via command line on MacOS
Want to import data from JSON Lines (JSONL) to PostgreSQL via Command Line Interface (CLI) on MacOS? Using pg-cmd, a Command Line Interface (CLI) client for PostgreSQL, you can import data from JSON Lines to PostgreSQL easily and fast. Direct Interaction or Scripting and Automation. No need to install PostgreSQL client library. Convenient to deploy…
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Import data from JSON to Oracle via command line on MacOS
Want to import data from JSON Lines (JSONL) to Oracle via Command Line Interface (CLI) on MacOS? Using ora-cmd, a Command Line Interface (CLI) client for Oracle, you can import data from JSON Lines to Oracle easily and fast. Direct Interaction or Scripting and Automation. No need to install Oracle client library. Convenient to deploy…