Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

FastReport Mono is compatible with Windows, Linux and macOS. With FastReport Mono, you can create application-independent .NET and Mono reports. FastReport Mono can also be used as a standalone reporting tool. - You can connect any database, use any table or create your own queries using SQL. - To request parameters before running the report, you can add one or more dialog form to the report. - You can use the built-in script to control the interaction between dialog form controls and perform complex data processing. - You can view the result in the preview window. You can also print the report or save it to one of many popular formats. FastReport Mono is written entirely in C#. It contains no managed code. It is compatible with Mono Framework 4.0 or higher. Full source code is available. FastReport Mono can be customized to meet your needs. License policy and price are reasonable.

Description

RankLLM is a comprehensive Python toolkit designed to enhance reproducibility in information retrieval research, particularly focusing on listwise reranking techniques. This toolkit provides an extensive array of rerankers, including pointwise models such as MonoT5, pairwise models like DuoT5, and listwise models that work seamlessly with platforms like vLLM, SGLang, or TensorRT-LLM. Furthermore, it features specialized variants like RankGPT and RankGemini, which are proprietary listwise rerankers tailored for enhanced performance. The toolkit comprises essential modules for retrieval, reranking, evaluation, and response analysis, thereby enabling streamlined end-to-end workflows. RankLLM's integration with Pyserini allows for efficient retrieval processes and ensures integrated evaluation for complex multi-stage pipelines. Additionally, it offers a dedicated module for in-depth analysis of input prompts and LLM responses, which mitigates reliability issues associated with LLM APIs and the unpredictable nature of Mixture-of-Experts (MoE) models. Supporting a variety of backends, including SGLang and TensorRT-LLM, it ensures compatibility with an extensive range of LLMs, making it a versatile choice for researchers in the field. This flexibility allows researchers to experiment with different model configurations and methodologies, ultimately advancing the capabilities of information retrieval systems.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

ClickHouse Yes 
Elasticsearch Yes 
FastReport Desktop Yes 
Firebird Yes 
Gemini No 
Gemini Enterprise No 
IBM Db2 Yes 
Llama No 
Mistral AI No 
MongoDB Yes 
MySQL Yes 
NVIDIA TensorRT No 
OpenAI No 
PostgreSQL Yes 
Python No 
Qwen No 
RankGPT No 
RavenDB Yes 
SQLite Yes 

Integrations

ClickHouse No 
Elasticsearch No 
FastReport Desktop No 
Firebird No 
Gemini Yes 
Gemini Enterprise Yes 
IBM Db2 No 
Llama Yes 
Mistral AI Yes 
MongoDB No 
MySQL No 
NVIDIA TensorRT Yes 
OpenAI Yes 
PostgreSQL No 
Python Yes 
Qwen Yes 
RankGPT Yes 
RavenDB No 
SQLite No 

Pricing Details

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

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Fast Reports

Founded

1998

Country

United States

Website

www.fast-report.com/en/product/fast-report-mono/

Vendor Details

Company Name

Castorini

Country

Canada

Website

github.com/castorini/rank_llm/

Product Features

Reporting

Customizable Dashboard Yes 
Data Source Connectors Yes 
Drag & Drop Yes 
Drill Down Yes 
Email Reports No 
Financial Reports Yes 
Forecasting Yes 
Marketing Reports Yes 
OLAP No 
Report Export Yes 
Sales Reports Yes 
Scheduled / Automated Reports Yes 

Product Features

Alternatives

AD FastReporter Reviews

AD FastReporter

Albus Bit

Alternatives

ColBERT Reviews

ColBERT

Future Data Systems
FastReport .NET Reviews

FastReport .NET

Fast Reports
RankGPT Reviews

RankGPT

Weiwei Sun
FastReport FMX Reviews

FastReport FMX

Fast Reports