Search Results for "windows control"
Sort By:
Showing 3 open source projects for "windows control"
View related business solutions-
Is your data on the dark web? Scan free nowWith SOCRadar Labs’s Dark Web Report, instantly find out if your data has been exposed on dark web forums, black market, leak sites, or Telegram channels. SOCRadar gives you instant access to the dark web findings of your organization assets in the Free Dark Web Report. Don’t be intimidated by what you see in our free Dark Web report! You can use SOCRadar for free for 1 year and get relevant intelligence that will keep you one step ahead of threat actors.
-
Smart Monitoring for Any Network. Powered by Open Source.NMIS helps with fault, performance, and configuration management. It provides performance graphs, threshold alerting, and detailed notification policies with various methods. NMIS monitors an organization’s IT environment, helps identify and rectify faults, and provides valuable information for IT planning.
-
1
Spice.ai OSS
A self-hostable CDN for databases
.... Spice makes it easy and fast to query data from one or more sources using SQL. You can co-locate a managed dataset with your application or machine learning model, and accelerate it with Arrow in-memory, SQLite/DuckDB, or with attached PostgreSQL for fast, high-concurrency, low-latency queries. Accelerated engines give you flexibility and control over query cost and performance. -
2
AppFlowy
Bring projects, wikis, and teams together with AI.
AppFlowy is an AI collaborative workspace where you can achieve more without losing control of your data. It is the best open source alternative to Notion, offering a 100% offline mode and self-hosting with a cloud service of your choice. Build a centralized workspace for your wiki, projects, and notes with AppFlowy. It allows you to organize and visualize your data in tables, Kanban boards, calendars, and more. You can filter and sort your data in any way you want. AppFlowy comes... -
3
ModelFox
ModelFox makes it easy to train, deploy, and monitor ML models
... learning model by running modelfox train with the path to a CSV file and the name of the column you want to predict. The CLI automatically transforms your data into features, trains a number of linear and gradient boosted decision tree models to predict the target column, and writes the best model to a .modelfox file. If you want more control, you can provide a config file.
- Previous
- You're on page 1
- Next