Other Legacy Technologies

From Python 2 to FoxPro to COBOL – legacy comes in many forms. While our standard analyzer focuses on Microsoft technologies, we have experience and proven processes for many other platforms. If you don't see your technology listed, contact us anyway.

We've Seen (Almost) Everything

Every platform below has been through our hands. For each one, we've developed analysis approaches that produce the same quality of inventory and risk reporting you'd get from our standard analyzer.

Python 2 / Legacy Python

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Python 2.7 reached end-of-life in January 2020. Many enterprises still run legacy Django, Flask, or custom Python 2 services. We analyze .py files, requirements.txt, and setup.py to map dependencies, identify Python 3 incompatibilities, and plan migration paths.

.py requirements.txt Django Flask Python 2.7

FoxPro / Visual FoxPro

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.prg program files, .scx/.sct form containers, .vcx/.vct visual class libraries, .frx/.frt report files, and .dbf tables. The embedded xBase database engine makes this a self-contained stack with no external database dependency.

.prg .scx .vcx .frx .dbf

Delphi / Object Pascal

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.pas Pascal source units and .dfm form definition files from Borland/Embarcadero Delphi. Object Pascal with VCL components, BDE or FireDAC database access, and native Win32 compilation. Many Delphi applications are high-performance and mission-critical.

.pas .dfm .dpr VCL FireDAC

COBOL

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Mainframe (IBM z/OS JCL, CICS, IMS) and Windows COBOL (.cbl, .cob files). COBOL systems are often the most business-critical of all legacy applications – payroll, banking, insurance. Our analysis covers DATA DIVISION structures, PROCEDURE DIVISION logic, and CALL hierarchies.

.cbl .cob CICS JCL IMS

ColdFusion

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.cfm templates and .cfc ColdFusion components with CFML tag-based and script-based syntax. Often used for data-heavy web applications with cfquery, cfstoredproc, and cfform tags. Adobe continues to maintain ColdFusion, but the talent pool and ecosystem have contracted substantially.

.cfm .cfc CFML cfquery

Our Approach to Non-Standard Stacks

For technologies outside our standard automated analyzer, we apply a structured manual and semi-automated methodology that produces equivalent outputs. The end result – an inventory report and a business risk assessment – is the same.

Manual and Tooling-Assisted Review

We review your codebase using specialized tools appropriate to the technology – static analyzers, language-specific parsers, and script-based extraction tools. We don't rely on a single tool; we combine approaches to maximize coverage and accuracy.

Equivalent Inventory Reports

We produce the same structured inventory reports regardless of the source technology: object counts by type, lines of code, complexity scores, dependency maps, and data access patterns. Manually produced or with custom tooling – the output format is consistent.

Technology-Specific Risk Report

The business risk report is calibrated for the technology's specific market status: vendor support, talent availability, security posture, cloud compatibility, and regulatory considerations. Each technology has its own risk profile and its own urgency drivers.

Modernization Path Recommendation

We recommend target architectures based on your specific technology, your team's skills, your budget constraints, and your organization's tolerance for risk. There is no one-size-fits-all answer – a COBOL modernization path is very different from a Python 2 modernization path.

Python 2 – End of Life, Still in Production

Python 2.7 – EOL January 2020, No Security Patches Since

Python 2.7 received its final update on April 20, 2020 and has had zero security patches since. Yet a significant number of enterprise applications – particularly internal tools, data pipelines, and legacy web services – are still running on it in production.

  • No security fixes. Any CVE discovered in Python 2.7 after January 2020 will never be patched. The list of unpatched vulnerabilities grows silently over time.
  • Dependency rot. Most major libraries – Django, Flask, NumPy, Requests – dropped Python 2 support years ago. Your dependencies are frozen at old, unpatched versions.
  • Talent gap. Python developers under 30 have often never written Python 2. Finding someone who can maintain and extend your codebase is increasingly difficult.
  • Container and cloud friction. Python 2 base images are no longer maintained on Docker Hub. Cloud function runtimes (Lambda, Azure Functions, GCP) have dropped Python 2 support entirely.
  • The migration is non-trivial. Python 2 → 3 involves breaking syntax changes, unicode handling rewrites, and dependency upgrades that require careful planning.

We have a structured Python 2 → 3 migration process that covers dependency mapping, compatibility analysis using tools like 2to3 and pylint, and a phased migration plan that keeps services running throughout the transition.

Whatever You're Running, Let's Talk

The first conversation is always free. No commitment, no sales pitch, no pressure. Tell us what you have – and we'll tell you honestly what we can do and what it would take. We've seen it all, and we'll be straight with you.

Every engagement starts the same way: a conversation. We don't charge for the first call, and we don't require you to have everything figured out before you reach out.

Call Us

Speak directly with our team. We're available to answer questions, discuss your codebase, and help you get started.

+1 (786) 475-3527