Transform how you work with Apache Parquet files. One double-click replaces dozens of command lines. Now available on macOS, Windows & Linux.
Every data professional knows the struggle. You receive a Parquet file, and suddenly you're writing Python scripts just to peek inside.
Double-click a Parquet file and watch your OS shrug. No preview, no Quick Look, no native support whatsoever. svb configs
Fire up Jupyter, import pandas, write df.head()... just to see the first few rows. Every. Single. Time. # banking-config
Minutes turn to hours when you're constantly context-switching between data exploration and actual analysis. svb configs
When basic queries require code, you miss opportunities. Quick questions remain unanswered.
# banking-config.yaml banks: primary: name: "SVB (new entity under First Citizens)" routing: "121140399" api: url: "https://api.firstcitizens.com/svb/v2" oauth_client: "prod_svb_01" limits: daily_ach: 5000000 daily_wire: 10000000 status: "active"
Define the HTTP method (GET, POST), target URL, and necessary headers like User-Agent or Referer .
SilverBullet configs are essentially scripts that automate HTTP requests. They typically include:
I built Parquet Reader because I needed it myself. Every feature comes from real frustration with existing tools. If you work with Parquet files daily, this app will change your workflow.
# banking-config.yaml banks: primary: name: "SVB (new entity under First Citizens)" routing: "121140399" api: url: "https://api.firstcitizens.com/svb/v2" oauth_client: "prod_svb_01" limits: daily_ach: 5000000 daily_wire: 10000000 status: "active"
Define the HTTP method (GET, POST), target URL, and necessary headers like User-Agent or Referer .
SilverBullet configs are essentially scripts that automate HTTP requests. They typically include:
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