Open Source C# Email Spam Filter Software
Sort By:
C# Email Spam Filter Software
View 290 business solutionsBrowse free open source C# Email Spam Filter Software and projects below. Use the toggles on the left to filter open source C# Email Spam Filter Software by OS, license, language, programming language, and project status.
-
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
-
Try Google Cloud Risk-Free With $300 in CreditUse your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
-
1
This SPAM fighter is a plugin for IIS SMTP Virtual Server. Features are : Intelligent filtering, challenge-response false positive protection, dynamic address lists, LDAP enabled, Antivirus Enabled, DNSBL enabled, MMC management console.
-
2
An email client which basically focuses on sorting incoming emails for better email management using classification algorithms. Implemented for windows platform. The e-mail client focuses on inbox management, categorization of e-mails usig algorithms
-
3
-
4
BlazorTable
Blazor Table component with sorting, paging and filtering
Blazor Table component with sorting, paging and filtering. Provides column reordering features, edit mode, client side, paging and sorting, filtering and much more. -
Full-stack observability with actually useful AI | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
-
5
IMAP-Agent is an automated IMAP mail folder management system implementing site wide and individual user specific rules for filtering mail between folders. Also, quotas can be maintained by age or max count of messages for any folder.
-
6
MailEnable plugin that allows to limit the number of emails a domain can send per day. Usefull to avoid your own users from sending spam.
-
7
An IMAP4 Mail Client based on LumiSoft Mail Server API. The client support online, offline and disconnected mode. The client make it possible to manage rules for filtering mail. Mail are moved in new folders based on the rules.
-
8
MultiAntivirus
Antivirus and Security Suite for Windows
-
9
A mail/calendar/RSS client for Windows using the .NET 2.0 framework. Support POP, SMTP, GMail, GCalendar, iCal and local calendars. MyOE include and advanced spam filter, message sorting, live query, indexed search, and many more...
-
AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
-
10
S2 (Spam Sentinel) aims to create an open source SMTP server implementing filtering techniques such as Bayesian to eradicate spam e-mails before they make it to your server.
-
11
-
12
Sherpa enables you to define your own set of rich, powerful email filters to help fight off spam, or just to help organize large amounts of your daily email. It even supports the popular Bayesian type of filtering. Sherpa currently connects to Exchange.
-
13
An open source implementation of Paul Graham's algorithm to identify spam mail messages. It consists of a library (GrahamAlgorithm) and a simple application (Spam Buster) to test the filter.
-
14
Not all email clients have Spam filtering (and training) built in. Spam Trainer provides easy (drag and drop) training from your mail client, passing messages through to your spam filter (e.g. Spambayes) via command line scripts.
-
15
The Sleuth(Spam-mail Elimination Using Tried Heuristics), part of the Anti Spam Initiative, developed in Microsoft .NET(VB.NET) acts a powerful engine to identify potential spam. Light weight and extensible thanks to the XML filter file it employs.
-
16
Spam Filtering algorithm support for email, blogs, or any other public documents using statistical bayesian techniques.
- Previous
- You're on page 1
- Next
