FastReport Mono

FastReport Mono

Fast Reports
RankLLM

RankLLM

Castorini
+
+

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About

FastReport Mono can be used with Windows, Linux, macOS and any operating system that supports Xamarin Mono. With FastReport Mono, you can create application-independent .NET and Mono reports. In other words, FastReport Mono can be used as a stand-alone reporting tool. - You can connect to any database, use any of its tables, or create your own queries in SQL. - You can add one or more dialog forms to the report to request parameters before running the report. - Using the built-in script, you can control the interaction between the dialog form controls and perform complex data processing. - You can see the result in the preview window, print the report or save it in a variety of popular formats. FastReport Mono is written in C# and contains only managed code. It is compatible with Mono Framework 4.0 and higher. Full source code is available. You can customize your copy of FastReport Mono to suit your needs. Reasonable price and licensing policy.

About

RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking. It offers a suite of rerankers, pointwise models like MonoT5, pairwise models like DuoT5, and listwise models compatible with vLLM, SGLang, or TensorRT-LLM. Additionally, it supports RankGPT and RankGemini variants, which are proprietary listwise rerankers. It includes modules for retrieval, reranking, evaluation, and response analysis, facilitating end-to-end workflows. RankLLM integrates with Pyserini for retrieval and provides integrated evaluation for multi-stage pipelines. It also includes a module for detailed analysis of input prompts and LLM responses, addressing reliability concerns with LLM APIs and non-deterministic behavior in Mixture-of-Experts (MoE) models. The toolkit supports various backends, including SGLang and TensorRT-LLM, and is compatible with a wide range of LLMs.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Software Developers, System Integrators

Audience

Academic researchers and developers seeking a solution offering tools for implementing and evaluating listwise reranking with large language models

Support

Phone Support Supported
24/7 Live Support Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$399.00/developer
Standard $399.00/developer
Professional $1299.00/developer
Enterprise $6999.00/developer
Free Version Supported
Free Trial Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Fast Reports
Founded: 1998
United States
www.fast-report.com/en/product/fast-report-mono/

Company Information

Castorini
Canada
github.com/castorini/rank_llm/

Alternatives

AD FastReporter

AD FastReporter

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Alternatives

RankGPT

RankGPT

Weiwei Sun
FastReport .NET

FastReport .NET

Fast Reports
ColBERT

ColBERT

Future Data Systems
FastReport FMX

FastReport FMX

Fast Reports

Categories

Reporting Supported

Categories

Reranking Models Supported

Reporting Features

Customizable Dashboard Supported
Data Source Connectors Supported
Drag & Drop Supported
Drill Down Supported
Email Reports Not Supported
Financial Reports Supported
Forecasting Supported
Marketing Reports Supported
OLAP Not Supported
Report Export Supported
Sales Reports Supported
Scheduled / Automated Reports Supported

Integrations

ClickHouse Supported
Elasticsearch Supported
FastReport .NET Supported
FastReport Desktop Supported
Firebird Supported
Gemini Not Supported
Gemini Enterprise Not Supported
IBM Db2 Supported
Llama Not Supported
Mistral AI Not Supported
MySQL Supported
NVIDIA TensorRT Not Supported
OpenAI Not Supported
PostgreSQL Supported
Python Not Supported
Qwen Not Supported
RankGPT Not Supported
RavenDB Supported
SQLite Supported

Integrations

ClickHouse Not Supported
Elasticsearch Not Supported
FastReport .NET Not Supported
FastReport Desktop Not Supported
Firebird Not Supported
Gemini Supported
Gemini Enterprise Supported
IBM Db2 Not Supported
Llama Supported
Mistral AI Supported
MySQL Not Supported
NVIDIA TensorRT Supported
OpenAI Supported
PostgreSQL Not Supported
Python Supported
Qwen Supported
RankGPT Supported
RavenDB Not Supported
SQLite Not Supported
Claim FastReport Mono and update features and information
Claim FastReport Mono and update features and information
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Claim RankLLM and update features and information