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Flagship software

The software produced by the Inria Lille - Nord Europe centre's research teams covers various fields of application: from computational medicine to trade and logistics.


PARADISEO is a software platform which facilitates the use, development and comparison of metaheuristics (optimisation algorithms aimed at solving difficult optimisation problems), be they classic, multi-objective, parallel or hybrid. PARADISEO offers implementations of numerous classic metaheuristics from literature as well as innovative new metaheuristics. This software can also be used for parallelisation of metaheuristics. ParadisEO is used to solve large-scale optimisation problems in a wide variety of fields, such as transport, logistics, telecommunication systems and bioinformatics.



Pharo is a dynamic pure object-oriented language and programming environment offering powerful immersion and live-programming possibilities. Pharo provides programmers a boost in productivity with sophisticated tools (advanced debuggers, hot recompilation, etc.).

As its success stories show, by providing a stable system and a simple kernel, excellent development tools, and regular updates, Pharo is an attractive platform for creating and rolling out critical applications. Pharo is also an ecosystem with more than 80 committers worldwide, an industry consortium, some thirty universities and 16 research organizations around the world.

  • Contact :   Rmod project-team

Power Api

Power API provides an estimation of an application's energy consumption. This software requires no third-party equipment for giving detailed information about how any application uses energy, broken down by CPU, memory, disk and network consumption. It has a standalone graphical interface that connects to the measurement tool and displays estimated energy consumption. The interface has a certain number of configuration options to adapt to the needs of different users.


The ApiSense software platform helps scientists collect realistic data sets to validate their theories. Rather than using randomly generated data sets, APISENSE seeks a community of volunteer users who will share their data. The crowd-sensing data, which are collected non-intrusively by smartphone, may include information about geolocation, direction, proximity and use of various smartphone resources.

  •  Contact :  Spirals project-team


Moose is an open source and extensible platform for software analysis which integrates language models, metrics, algorithms and visualization and navigation engines. It accelerates the production of software analyses by providing  extensible models and reusable libraries. Various models are offered for static or dynamic analysis of programs, development history and procedural and aspect code.

  •  Contact :   Rmod project-team


MIXMOD and MIXTCOMP are two clustering software products (central exploratory phase in Big Data) for continuous, discrete and mixed continuous/discrete data. They are both based on models of combinations of the law of probability for a consistent clustering approach all along the process: modeling, estimation and choice of model. MIXMOD handles continuous data with intra-class correlations as well as high dimension. MIXTCOMP covers missing and partially missing data (intervals), and highly mixed data (integers, curves, ordinals, rows) in addition to the continuous/discrete case. MIXMOD is currently available on CRAN for use in R and MIXTCOMP is available at the MASSICCC website, which can be used easily without any special installation, with output that can also be used in an R environment as needed.

Contact :   Modal project-team

Keywords: Sotfware