ToolTracker: New Tools for VB6 -- Visual Studio Magazine

.NET Tips and Tricksby Peter Vogel

Visual Basic 6: Old Tools Never Die...

It's been twelve years since the last release of the "non-.NET" version of Visual Basic and five years since support was terminated. But there's still room in the toolspace for new products.

This month eXontrol released their eXCalendar, eXEdit and three other OCX controls (all part of their eXsuite package). Also this month, BCL Technologies released easyPDF SDK for "any language that supports COM objects." And Korzh.com released EasyQuery.Ax, a COM/ActiveX extension to their Easy Query product line.

All of these products are available in .NET versions (or are part of a product line that includes .NET versions). But what's interesting is that these product announcements all featured COM/ActiveX/OCX implementations. I made a very good living from Visual Basic 6 for a long time and, while I'm not currently developing in it, it's a testament to the power of the tool that it (and its COM brethren) still provide a market for tool developers.

Posted by Peter Vogel on 12/01/2010

comments powered by Disqus

Featured

Microsoft Ships Stable Versions of OpenAI Libraries for .NET and Azure

Further leveraging the relationship that vaulted Microsoft and OpenAI into leadership positions in the AI era, Microsoft this week announced stable versions of two new OpenAI libraries.
Microsoft Further Embraces OpenAPI Spec (formerly Swagger)

Microsoft has long embraced the OpenAPI Specification (formerly known as Swagger) for describing APIs, and it's now taking that support to the next level with a new online resource.
Get Good at DevOps: Feature Flag Deployments with ASP.NET WebAPI

They provide developers with the ability to toggle features on and off without having to redeploy code, making it easier to manage risk, test features in production, and facilitate smoother releases.
Implementing k-NN Classification Using C#

Dr. James McCaffrey of Microsoft Research presents a full demo of k-nearest neighbors classification on mixed numeric and categorical data. Compared to other classification techniques, k-NN is easy to implement, supports numeric and categorical predictor variables, and is highly interpretable.